DOI: 10.31038/ASMHS.2022623

Abstract

The objectives of this study were to explore the relationships between categories around the undertaking of migratory flows in order to specify a model for their systematic study. A documentary, exploratory and transversal study was carried out with an intentional selection of sources indexed to international repositories; Dialnet, Latindex and Redalyc, considering the publication period from 2007 to 2019, as well as the search for keywords. A relationship structure was observed between three preponderant categories in the literature: acculturation, multiculturalism and interculturalism in which significant differences were established with respect to selected extracts from the consulted literature. However, there was no appreciable collaborative and consensual learning among the judges who evaluated the marks in three qualification rounds, although the design of the research limits the findings to the informative sample. These results demonstrate the specification of a model in order to establish differences between the categories and anticipate exclusion or inclusion scenarios between migratory flows and native communities, as well as the relevance of entrepreneurship in the local development of both groups.

Keywords

Migration, Entrepreneurship, Development, Setting, Acculturation

Introduction

Roughly, migratory flows allude to a process of passage, stay and return that has been explained by three epistemic foundations: a) acculturation; B) selectivity and c) identity. It is a multidimensional process in which each phase and each dimension unveils the differences between governors and governed in terms of sustainable, human and local development policies, and mainly explains the asymmetries between migratory flows and native spheres [1].

The concept of migration is multidimensional, but the studies related to migrant cultures with respect to native cultures have focused on a generalizing concept of rupture, crossing, stay and return in the economic and occupational order. Many occupational studies, emphasizing dependence, conformity, and obedience of migrant cultures with respect to native culture, are destined for human, local and regional development only with migrant cooperation in services or agroindustrial activities [2]. The phenomenon of migration has been approached from an ethnocentric, polyculture or multicultural approach, focusing on the adjustment of migrant cultures with respect to the laws, values, and norms of native cultures [3]. In that sense, substantial justice from multiculturalism is the integration of social justice and cultural justice, or, the concatenation of economic, political and social rights with respect to cultural differences and self-determination.

From these approaches, migration has been understood as a process of acculturation, assimilation, adaptation, and selectivity of talents with respect to an internal labor market that demands the environment and the capacities required to carry out local development, through the distribution of the labor force in strategic sectors such as agro-industry or services. The selectivity of talents that moved from emerging to developed countries is only possible in the cases of the so-called economy 4.0 [4].

This is because the perspectives of migration have considered the native cultures as active and vital in the development process whereas migrant cultures are passive or collaborative in the endogenous development of native cultures, coupled with substance justice, as antecedent of interculturalism, the concepts of impartiality such as granting rights to minorities, self-government or political and legal autonomy, polyethics or equality dissemination guarantees among members of a group, as well as the specificity and cultural legitimacy embodied in dialogue, negotiation and co-responsibility subscribe to the construction of a new model for the study of migrant cultures in relation to native cultures ([3]: page 255).

In this sense, the notion of social justice was linked to the consequences of immigration as it warned about asymmetries in terms of rights and obligations, opportunities and capabilities, as well as between commitments and responsibilities between migrant cultures and native cultures [5].

Well, the study of migratory flows no longer as passive entities and dependent on native cultures gestate in the work of entrepreneurship and innovation that distinguish this new wave of its predecessors focused on compliance and obedience, now observed at migration as active and innovative entities. These are migratory flows with civic virtues oriented towards a sense of identity and belonging to a universal community, observed by their degree of empathy, commitment, altruism, solidarity, satisfaction and happiness [5].

The theoretical, conceptual, empirical and hypothetical frameworks with respect to entrepreneurial migratory flows are grouped into 1) acculturation, assimilation, and adaptation; 2) selectivity and human capital; 3) identity, spheres, networks, and multi and intercultural flows.

The acultural, assimilative or adaptive perspective distinguishes migrants and natives not only from the place of origin, its uses, and customs but also its objectives, tasks, and goals. It is logic of profit and utility as a preponderant and determining factor of the relations between migratory and native flows. In this sense, development policies with such an approach highlight the achievements and scope of programs based on sustainable rather than human or local development, since it is assumed that the labor market will generate and disseminate the bases for establishing the quality of life and subjective well-being related to health, education, and employment. These are sector programs and strategies in which support and incentives, as well as financing, are aimed at containing migratory flows according to the needs of the labor market [6].

In this way, entrepreneurial migrant flows are circumscribed to the inclusion and social protection policies that the receiving State implements in order to promote development in the economy of industrial production and services. Migrants are considered a skilled and specialized workforce, a fundamental part of the gearing of the productive and service sectors. It is assumed that the State must protect the interests of the natives by postponing the stay of migrants and encouraging their abilities; knowledge, and skills from and with the corresponding occupational health [7].

The selectivity approach considers that the development will be gestated from the policies of business promotion and market opening. Regionalism and multilateralism are essential to encourage sustained development and, immediately, human and local development. The aim is to promote policies for evaluation, accreditation, and certification of the quality of the processes and achievements of institutions and organizations sponsored by business development policies, as well as market-opening policies. In this process of selectivity, migratory flows are evaluated by their degree of intellectual capital in relation to the requirements of the labor market [8].

The undertaking of migratory flows is considered as a phase or instance subsequent to the implementation of business promotion policies, but above all, as a result of health, educational and labor policies with emphasis on the evaluation, accreditation, and certification of objectives, tasks and goals both institutional and organizational, since, it is precisely in these instances where the asymmetries between natives and migrants are resolved in favor of sustainable, human and local development. It is considered that the selection of the best talents, intellectual capitals, skills, and knowledge will build a culture of entrepreneurship, innovation, and success [9].

The paradigm of identity, unlike acculturation and selectivity, warns that the asymmetries between migrants and natives are due to the establishment of spheres, networks and flows since migrants establish relations of empathy and commitment by virtue of their abilities and the natives are organized rather in terms of a culture of domination. Among other differences, the migrant customs and practices are oriented and tolerated by the natives from their consensual diversity, which means, the migrants are considered as different in their traditions, but at the same time, indispensable for the development of the country. A receiver as the economy that expels those [10].

Therefore, the policies implemented from this approach recognize the differences between migrants and natives that will determine sustained, human and local development. That is to say, programs and strategies do not seek to dilute asymmetries, but to increase them in favor of the recognition, admiration, and respect of personal attributes, organizational innovations, state integrality and national competitive advantages [11].

This is how development policies are properly structured based on differences between migrants and natives, but the approach distances and approaches groups according to programs and strategies implemented at different levels: sustainable, human and local [12].

From the theoretical point of view, the study of migration supposes, without a doubt, the establishment of an agenda, which from a thorough review of the literature (that is, the state of the art, the state of the question or of the state of knowledge), alluding to the issue of migration. In effect, starting from an epistemological criterion, two major groups of theoretical discussion approaches are established [13].

Since it was about social work, it was thought to privilege the “intervention”; however, the concept of intervention has been questioned and even replaced by the term of intercession. Indeed, in the past with the Benefactor State, social work would have to contribute to economic and social development. Instead, now paradoxically, with neoliberalism in between, society comes to participate more; however, the work of social work is to promote dialogue, management, and evaluation. In other words: intercession, mediation between the State and organizations. Social work will intercede in the communication of the different actors of civil society. This is your future [9].

Entrepreneurship consists of empowering opportunities (including the generation of their own opportunities); as well as optimize resources and strengthen capacities [14]. Entrepreneurship is also a historical process in which levels of development are reflected according to migratory flows. Therefore, the learning of entrepreneurship is, undoubtedly, an indicator of development.

In this sense, social work has generated models for the study of entrepreneurship, understood as learning from actors involved in the journey and stay with an entrepreneurial culture so that, upon return, with the use of certain capital, learning, the knowledge and skills, favorably affect, in this case, in the commercialization of a product (organic coffee).

Studies related to knowledge networks, also known as neural networks, have established associations between different variables, such as beliefs, attitudes, intentions, and behaviors; in order to demonstrate a node learning (group) with respect to a neuron (or network system).

In the case of migratory flows [Exit (expulsion) ⇨ Crossing (travel) ⇨ Stay (residence-work) ⇨ Return (return to the place of origin)] is possible to note the degree of entrepreneurship, if they are considered as nodes in a particular network of migrants returning to their place of origin, provided with resources, skills, knowledge and expertise; all this oriented to investment in the local economy [15].

However, studies of migratory flows have focused their interest on the dominant native cultures by proposing laws, values, and norms are ethnocentric, polycultural or multicultural, although they limit the entrepreneurial capacities of migratory flows, they can adapt, assimilate the dominant lifestyles and be selected according to their skills and knowledge to achieve their insertion in society [16].

Precisely, the objective of this work was to explore the relationships between the categories of acculturation, multiculturalism and interculturalism reported in the literature from 2007 to 2019 in repositories such as; Dialnet, Latindex, and Redalyc in order to specify a model for the study of the phenomenon in endogenous development with local entrepreneurship.

Method

A documentary, exploratory and transversal study was carried out. A non-probabilistic selection of sources indexed to Dialnet, Latindex and Redalyc was made, considering the period of publication from 1999 to 2017, as well as the key words: “migration”, “entrepreneurship”, “inclusion”, “development” and “networks”.

An array of content analysis in order to set the agenda, axes and discussion topics related to migration was used. The matrix includes the coding, weighting of judges’ evaluations around the revised information (Table 1).

Table 1: Content Analysis Matrix

Model	Indicator	Coding	Weighing	Interpretation
Acultural	Adaptation, assimilation and return	0 = vertical exclusion, 1 = horizontal exclusion, 2 = vertical inclusion, 3 = horizontal inclusión	0 to 1 0 points as vertical exclusion threshold	Agenda, axes and discussion topics focused on exclusion and social injustice
Multicultural	Insertion, Selectivity andreincersion	0 = vertical exclusion, 1 = horizontal exclusion, 2 = vertical inclusion, 3 = horizontal inclusión	11 to 20 points as selective inclusion threshold : vertical	Agenda, axes and discussion topics focused on social justice based on the legal framework and native culture
Intercultural	Entrepreneurship andinnovation	0 = vertical exclusion, 1 = horizontal exclusion, 2 = vertical inclusion, 3 = horizontal inclusión	21 to 30 points as horizontal social inclusion threshold	Agenda, axes and discussion topics focused on participation, dialogue and co-responsibility between migrant and native cultures

Source: self-made

The coding was established by judges who evaluated the findings matrix (Table 1A in the annex) based on criteria such as 0 = vertical exclusion, 1 = horizontal exclusion, 2 = vertical inclusion and 3 = horizontal inclusion.

For example: the information related to “Identity, globalization and equity” was evaluated on Thursdays as a content or extract of vertical exclusion, as the dominant culture prevails as regards migrant cultures disseminated in identities such as diaspora, ferry wheels or nomads. The latter oriented to equity by a multicultural legal framework that raises the self-determination of groups as long as these conform to the laws of the recipient country.

The weighting threshold, considering that three models prevail for the study of the migratory phenomenon: acculturation, multiculturalism and interculturalism, was structured as: 0 to 10 information oriented to the study of vertical exclusion, from 11 to 20 information directed towards the selective exclusion vertical and 21 to 30 information oriented to the study of horizontal inclusion.

Following the same example of “identity, globalization and equity”, it reached a score of 9, evidencing that it is information oriented to the study of exclusion, focused on the vertical asymmetries between the dominant cultures that may be the native with respect to the migrant cultures that can be identities such as: nomads, diaspora and ferry wheel.

The threshold of 0 to 10 points of 30 possible was interpreted as a reflection of an agenda, axes and content issues related to exclusion and social injustice for evidencing asymmetries between native cultures and migrant cultures regarding economic, political, social and sexual rights .

The threshold of 11 to 20 points out of 30 possible was interpreted as a reflection of a genre, axes and debate topics focused on the possibility of dialogue between migrant and native cultures with respect to human development, health, education and employment, which, being equitable, substantially improves the selectivity of talents and directly affects productivity as well as competitiveness.

The threshold of 21 to 30 points was interpreted as a reflection of an agenda, axes and discussion topics focused on the social inclusion of migrant cultures through dialogue with native cultures. This supposes a deliberative participation, whether informed or reasoned with respect to equity in terms of economic, political and social rights.

Based on the Delphi technique, the content of the concepts and indicators of migratory flows was analyzed with respect to development: sustainable, human and local, as well as with inclusion and social protection.

The information was compared and integrated considering, year, author, concept, technique and findings in order to be able to synthesize the information and expose it to 10 expert judges in the problem, who evaluated the content following the criterion of vertical exclusion, horizontal exclusion, vertical and horizontal inclusion to highlight the differences and similarities between migrant cultures and native cultures.

The confidentiality and anonymity of the judges was guaranteed in writing with respect to their responses, as well as the results of the study, which informed the participants that these findings would not negatively or positively affect their economic, political and social status.

Two tables or matrices were drawn up to show the differences and similarities in terms of the categories of development and social protection, indicators of exclusion and vertical as well as horizontal inclusion.

A model of trajectories and axes of dependency relations between the variables used in the revision of the literature was specified in order to be able to discuss the scope and limits of the results, as well as future research lines concerning the problem, the phenomenon and object of study.

Results

Table 2 shows the descriptive values of the instrument or matrix of content analysis, which demonstrate the normal distribution of the coded responses of the literature consulted and the expert judges who evaluated the contents.

Table 2: Instrument Descriptions

E	M	S	K	A		C1			C2			C3
R1					χ2	Df	p	χ2	df	p	χ2	df	p
e1	2,67	0,89	0,75	0,70	13,25	14	<,05
e2	2,91	0,83	0,73	0,76				15,23	14	<,05
e3	2,03	0,94	0,60	0,77	14,36	18	<,05
e4	2,43	0,85	0,84	0,73	13,26	10	<,05
e5	2,78	0,80	0,63	0,78				14,36	13	<,05
e6	2,15	0,81	0,61	0,83	15,47	11	<,05
e7	2,09	0,96	0,59	0,82				14,25	11	<,05
e8	2,79	0,85	0,73	0,84							14,23	15	<,05
e9	2,56	0,87	0,64	0,74							14,56	13	<,05
e10	2,75	0,93	0,83	0,72	15,42	12	<,05
R2
e1	2,90	0,94	0,63	0,80	13,25	17	<,05
e2	2,86	0,96	0,74	0,85	15,49	15	<,05
e3	2,75	0,98	0,84	0,89				13,46	10	<,05
e4	2,98	0,89	0,74	0,83				14,35	15	<,05
e5	2,84	0,85	0,77	0,67	14,35	16	<,05
e6	2,70	0,88	0,80	0,84	14,35	13	<,05
e7	2,84	0,99	0,82	0,88	13,24	12	<,05
e8	2,80	0,94	0,73	0,73							15,32	12	<,05
e9	2,78	0,93	0,72	0,72							13.45	13	<,05
e10	2,45	0,84	0,89	0,75							15.46	16	<,05
R3
e1	2,63	0,79	0,82	0,84							15,47	13	<,05
e2	2,70	0,84	0,80	0,85	14,35	15	<,05
e3	2,64	0,85	0,73	0,80				15,47	18	<,05
e4	2,53	0,96	0,86	0,83	15,46	13	<,05
e5	2,58	0,98	0,75	0,74	14,36	15	<,05
e6	2,51	0,99	0,77	0,77				14,38	13	<,05
e7	2,43	0,86	0,63	0,85							16,54	15	<,05
e8	2,58	0,88	0,85	0,73	16,58	12	<,05
e9	2,50	0,84	0,95	0,75							13,24	11	<,05
e10	2,74	0,82	0,82	0,80							12,34	13	<,05

Source: Elaborated with data study
E: Extract, R: Round, M: Median, S: Standard Deviation, K: Kurtosis, A: Asimetry, C: Category: C1: Acultural, C2: Multicultural, C3: Intercultural; χ2: ji squared, DF: Degree Fredom, P: Level of significance.

It is possible to appreciate a consensus based on the relationships between extracts and categories, but not in terms of collaborative learning between the sources since the first round includes equal or less consensus for the first and second, but favorable for the third category.

That is, the literature consulted seems to agree on differences between acculturation, multiculturalism and interculturalism with respect to the selected extracts, but only for this intercultural category are there consensuses in the qualifications of judges as the evaluation rounds go on.

Ell means that acculturation and multiculturalism seem to be controversial for judges in relation to interculturalism. Entrepreneurial migratory flows seem to be assumed as part of a system of balances between resources and demands, opportunities and challenges, resources and capacities among political and social actors, although the lack of consensus regarding their structure of relationships, communication and motivation seems to indicate that these are emerging phenomena that literature has not been able to assess.

Figure 1 shows the relationships between the categories with respect to the extracts qualified by expert judges in the subject areas.

Figure 1: Structure of Categorical Relationships.
Source: Elaborated wit data study.
E: Extract, C: Category: C1: Acultural, C2: Multicultural, C3: Intercultural; relations between categories and extracts.

It is possible to appreciate that there are relations close to the unity between the categories established by the literature and the extracts qualified by expert judges, although category 2 and category 3 maintain a close relationship to zero, suggesting that multiculturalism and interculturalism are mutually scenarios Exclusive to the entrepreneurial local development.

In contrast, acculturation and interculturalism seem to converge in terms of endogenous entrepreneurial development, suggesting that it is an antecedent and consequent relationship. That is to say, interculturalism will emerge from acculturation and not from multiculturalism.

Discussion

Within the framework of male and female gender relations focused on employment opportunities and capacities, the discussion of the similarities and differences between the concepts of human, sustainable and local development can be located in two indicators of social development: 1) the dignity of life and 2) the quality of life [17], as well as at the institutional level regarding its lack of coordination at the different levels of government, federal, state and municipal [18].

The dignity of life refers to human and social rights as mediators of public action and social necessity [17]. It is to say, it is assumed from the social development approach that the differences of rights between men and women are gestated after both identities, masculine and feminine, are victims of a crucible of violations of their rights. This is so because, even though they are different in their opportunities and capacities, they share common development problems and strategies.

This is the case of quality of life, refers to health; nutrition, housing, education, environment, culture and longevity ([17]: 66). These are opportunities and capacities for access and usefulness of each of these privileges, once again circumscribed between the recognition and ignorance of female identity and masculine identity.

In this way, social development is the product of public and private actions, programs and strategies aimed at dignity and health, reflected in the quality of life, but at the same time part of a vicious circle of similarity (shared problem) and differentiation (development privileges). Therefore, it is necessary to have a state rectory [18].

From this definition of social development, it will be possible to derive the differences and similarities between human, sustainable and local development. It will be essential to establish the definitions, objectives, instruments and goals that distinguish them, since the scarcity or lack of dignity and quality of life is the common denominator [19].

However, it is necessary to consider that the differences related to employment opportunities and capacities between men and women are limited to the imperfections of the labor market ([17]: 66). Therefore, the policies of collection and redistribution will be fundamental to clarify the solidarity that characterizes masculine identities and feminine identities, mainly cooperation oriented to their development [20].

From a matrix around sustainable, human and local dimensions, it is possible to notice differences and similarities if the diagnosis is considered in terms of the absence or scarcity of rights, objectives, instruments and goals (Table 3).

Table 3: Matrix of similarities and differences in development

Dimension	Diagnostics (absence or inefficiency, inefficiency and ineffectiveness of rights)	Objectives (effectiveness of rights)	Instruments (efficiency of rights)	Goals  (rights, effectiveness)
Sustainable (generation of health, educational and employment opportunities with an emphasis on social equality: female claim, afro-descendant, indigenist and older adult to overcome poverty)	State dismantling (page 72); lack of leadership of SEDESOL (minute 6:25), federal, state and municipal lack of coordination (minute 4:15), polarization (minute 3:48), social inequality (p.74), containment and reduction of public expenditure (pp. 71 and 72), business exemptions and reduction of state employment ( p.72), discontinuous growth (p.70), limited business contribution (p.71), competition in services and commerce (p.71), state malformation; macroeconomic management (p.72), extreme poverty (minute 3:30), feminization of poverty (p.73) by race and age (p.74), educational lag, access to health, access to housing, income (p. 7:50 to 9:13)	Interinstitutional coordination (minute 6:35) restoration of civil trust (p.72), social integration (p.73).	Social policy: focus, coordinate and influence (minute 4:00 to 5:00), institutional scaffolding (minute 4: 48), public investment (page 71), social dialogue (page 73), representation and governance (p. 72), solidarity and social integration (p.71), governmental responsibility (p.73); transparency (p.73), national crusade against hunger (minute 7:10), popular insurance affiliation (minute 8: 20), subsidy and productive linkage (9: 10)	Sustained growth (p.70).
Human (capacity building for dignity and quality of life in health, education and employment)	Mobility requirements (p.66 and 67), institutional precariousness (p.67), informal work (p.68), unemployment (p.70).	Overcoming poverty (p.68), strengthening human capital (p.69).	Universal care (p.67); education (p.66).	Family welfare (page 68).
Local (Public and private support and services through cooperative solidarity)	Abandonment of state centrality (p.74), end of assistentialism and paternalism (p.75), political corruption and social untying (p.71), institutional administrative centralism (p.71), scarcity of fiscal resources, monetary precariousness, labor exclusion (p.67), social distrust (p.72).	Employment opportunities (page 66), promotion of positive interactions between cultures and communities (p.75).	Social and economic compensation (p.66), migration and remittances (p.67), social capital (p.66 and 68), solidarity and trust (p.69), promotion of survival strategies (p.69).	Labor stability (p.70) , equitable remuneration (p.66 ).

Source: Modified from [17,18]

In this way, sustainable development refers to an area in which the State generates opportunities and contributes to the capacities of civil society to reduce inequalities between cultures, localities, communities, families and individuals [21].

If sustainable development orients social equality in order to overcome the poverty of the most excluded sectors, then human development will focus on the promotion of health, education and labor rights in order to establish capacity building that will culminate in the scope of dignity and quality of life [22].

In this way, human needs and expectations will correspond to the policies of strengthening human capital through social care in general and education in particular, generating the desired social well-being [23].

However, the abandonment of the welfare paternalism of the state rectory supposes local policies focused on the reconstruction of the social fabric and the recovery of civil trust through the promotion of solidary and cooperative relations, social and economic compensations, indicated by labor equity and remunerative [24].

In each of the dimensions of sustained development, human and local, the effectiveness, efficiency and effectiveness of rights is the central issue in the state and civil agenda, deriving in cultures, races, gender identities, ages, levels of education and income [25] .

The differences and similarities between the sustained, human and local developments allow observing the inequality between men and women, among other items. This is so, because the problems, objectives, instruments and goals seem to disfavor the feminine identity over the masculine identity not only evidenced in the poor number, but also in the opportunities generated by institutions and companies, which favor a competition logic focused on the conviction of success, an essential attribute of male identity and to the detriment of conservation ethics, a fundamental feature of female identity [26].

In this way, policies of sustained, human and local development, focusing their emphasis on competence rather than solidarity, will favor male identity, but at the same time they not only exclude female identity in the health, education or labor fields. , but also confine the male identity to these areas bypassing the relative to family as is the case of paternity rights [27].

The phenomenon of masculine youth migratory flows can be understood from the asymmetries and similarities between the processes of inclusion and social protection, considering that human rights are the universal and integral implementation instrument [28,29].

That is to say that social inclusion, being an ethics, vocation and discourse of equality, not only implies the exercise of rights in the foundation of programs and strategies, but also is aimed at reducing the barriers that inhibit the construction of citizenship , cohesion, belonging and democratic life. Through administrative decentralization, social recognition, the social pact, the negotiation of conflicts and the expansion of rights for their social redistribution [30].

If social inclusion is reflected in social protection as synonymous with social assistance, then masculinities in their youth and migratory flows would have ample possibilities of being included and protected, but this last question implies social assistance related to progressivity, equality, integrality, institution, participation, transparency, accessibility and accountability [31].

In other words, social and economic rights must not only be guaranteed by the State, they must be inserted in a policy, program and strategy aimed at eradicating inequalities, indicated by their regression in terms of opacity of resources and inaccessibility of information [32].

In this way, the similarities and differences between inclusion and social protection are central issues in the political and civil agenda, mainly in relation to a diagnosis of inequality and social exclusion, as well as in the objectives, instruments and goals aimed at the inclusion of from protection [33].

“Grosso modo” (Table 4), social inclusion is the effect of social protection understood as a policy, program and integral strategy for managing demands and redistribution of resources in order to regulate: 1) social assistance, 2) social security and 3) the labor market [28].

Table 4: Matrix of differences and similarities between protection and social inclusion

Dimension	Diagnosis (lack of efficacy, efficiency and effective rights)	Objective (effectiveness of rights)	Instrument (efficiency of rights)	Goal (effectiveness of rights)
Inclusion (ethics, vocation and discourses of social equality for the exercise of social and economic rights)	Ethics of inequality (p.332), distortion of citizenship (p.332), absence of cohesion, social belonging and democratic life (p.332),	Equality in well-being (page 332), dignity, autonomy and freedom (page 344), democratic participation (page 344), universality of rights (page 346).	Decentralization of responsibilities (page 346), social recognition without distinction of gender, race, ethnicity, age, belonging to specific socioeconomic groups or geographic location (page 332), social pacts (page 333), conflict negotiation (p. 333), expansion of rights (p.333), cohesion and social identity (p.333).	Social redistribution (p.332), discourses of rights (p.332),
Protection (Implementation of economic and social rights based on standards of progressivity, equality, integrality, institutionality, participation, transparency, access and accountability)	Policy of social inequality (p.332), regressivity that inhibits the exercise of social and economic rights (p.333), illegality and labor informality (minute 4: 33), multidimensional poverty (minute 6:49), differential needs (p. minute 9: 35), transitional (minute: 9:55) and chronic (minute 10:10), female uniparental leadership (minute 11: 22). Municipal operational technical coordination (minute 17:40), information and opaque management (minute 18:35),	Reduction of social inequality (p.332) from integrality (minute 6:20), identification of demands and guarantee of access to resources (minute: 3:21), promotion of decent work (minute 4:06), focused on income (minute 2: 10),	Universal policies (p.332), horizontal integrality (minute 6:50), vertical administration (7: 10 minute), sectoral transversality (minute 8: 03), institutional coordination (minute 16:40), promotion of human rights; economic and social with an inalienable sense (p.331 and 332), coverage of needs (p.335), conflict control systems (minute 20:15),	Social assistance, contributory social security and regulation of the labor market (minute 15: 10 to 16: 25). Multi-sectoriality of state intervention (minute 6: 49); legal commitments (p.332), social security (p.342) and social assistance (p.342)

Source: Modified from [28,29]

That is to say that social exclusion, indicated by social inequality and determined by the regression of economic and social rights, is reflected in illegality and labor informality, multidimensional poverty, differentiated needs, and directly impacts single-parent families headed by women; It supposes a lack of technical and operational municipal coordination fed by an absence of informative transparency and accountability, justifies social protection [34].

In this sense, social protection is the implementation of strategies and mechanisms of assistance, security and the labor market as part of universal, comprehensive policies, verticality in its elaboration and horizontal implementation. It implies a sectoral transverse condition; an institutional coordination in the coverage of needs and a control of conflicts between political and civil actors [35].

Understood as a strategy of assistance, security and labor regulation, the differences and similarities between social inclusion as an ethic derived from social protection show that: 1) migrant flows occupy a place in the integration of social protection through demographic bonus; however, 2) migrant masculine identities would only be a priority while they are in a productive age; 3) both migrant flows and masculine identities are more prone to state exclusion, since it prioritizes the sectors of the future [36].

From the intercession model of social work, which proposes the incidence of contextual repertoires on narratives and discourses, fifteen former migrants settled in Xilitla, SLP, in the Huasteca Potosina, were interviewed in order to interpret and establish the influence, they had throughout their journey, stay and return, all this in the face of acculturation, selectivity, identity and governance; as well as before the rationality: economic, multicultural, intercultural and ethnocentric, having as evident background to the enterprising culture of the EU [37-47].

The former migrant traders of organic coffee had an apprenticeship in entrepreneurship based on the transparency of the management of their micro-enterprise. Each peso was used for the development of your business. The merchants without experience in migration had an apprenticeship of the enterprise based on the specificity of their sales. Each weight should be invested in a single product.

A specification refers to the establishment of axes, trajectories, relationships and hypotheses around a process in which the variables reviewed in the state of knowledge reflect a particular context or scenario, but their expected relationships anticipate conflicts and changes.

In this way, a preponderant axis: the integrality of the public policies on the other nodes; diversity, security, activism and co-responsibility. Each path of dependency relationship between each of the five factors allows the establishment of hypotheses that can be contrasted in the immediate future if the theoretical, conceptual and empirical frameworks reviewed in the state of knowledge are fulfilled.

The model proposes the study of entrepreneurial migratory flows based on the leadership of the State through the integrality of social policies, as well as the diversification of social protection and public social security, although in another aspect, movements for social security They propose a co-responsibility in the management and administration of public services in the field of social entrepreneurship.

It is a model delimited by two political and social actors around the establishment of a business promotion system that is distinguished by its degree of social protection, comprehensive strategies, local security and openness to social demands, as well as the construction of a co-government or governance indicated by its degree of co-responsibility.

However, the co-governance or governance scheme also implies the inclusion of other public and private sectors and actors, such as joint-stock companies and cooperative societies. This means that the model is limited to two actors that, although they are the predominant axes of co-government, whose management and administration capacity is regulated by civil organizations and government institutions.

In this way, the selection of indexed sources can be extended to repositories such as EBSCO, SCOPUS, ELSELVIER or SCIELO. This would include variables that explain the dialogue between the governors and the governed in terms of entrepreneurship, mainly in terms of the innovation of development policies.

In the case of the Delphi technique used to analyze the content and its specification in a model, it could be complemented with the neural network technique in order to be able to establish possible scenarios from available data and feasible dependency relationships. It is the same case of the data mining technique, which would delimit the study scenario to a context and space in which entrepreneurship contrasts with protectionism or corruption.

Regarding the model of complex trajectories of interdependence between the factors subtracted from the literature consulted, it is possible to amplify such a model using the logic of structures, which warns measurement errors that can indicate the similarity or difference of constructs in the explanation of a problematic.

Finally, in relation to the works of [9,13], in which entrepreneurship has its origin in local identity, regional roots, attachment to the place, and the sense of community as a substantial part of the uses and customs oriented to profit and profit. Present work rather considers that it is the interdependence between migrant and native cultures that generates an entrepreneurial hybrid, and that although the local identity is its foundation, also the labor expectations that drive the crossing, the stay and the return of migrants is a factor determinant of a migrant’s work cycle.

Subsequently, it is recommended: a) to carry out an intensive processing of information in other repositories; b) adopt other content analysis techniques; c) generate integral models, that include entrepreneurial migratory flows and entrepreneurial spheres; c) as well as the discussion between the historical identity of the place of origin with respect to the labor expectation of the migrant receiving context.

Conclusion

The contribution of this work to the state of the question lies in the establishment of five assumptions that explain the trajectories of interdependence between five nodes or factors used in the state of the matter and specified in a model for addressing entrepreneurial migratory flows. It deals with the integrality, diversification, security, participation and co-responsibility of the political and social actors in the construction of a system of co-management and co-administration of resources and public services related to social entrepreneurship, business development, microfinance or microcredit focused on the localities that receive or boost migratory flows.

The discussion about social entrepreneurship, as a process of state management or administration, or, because of civil participation in self-management and self-organization, is being rethought towards models of co-government, co-management, co-administration and co-responsibility, which they indicate a rapprochement of public administration with organized civil society, but in terms of social protection, policies, strategies and programs are disjointed. Therefore, opening the debate is necessary to establish an integral system of social entrepreneurship, at least between the governors and the governed.

References

1. García C (2019) Dimensions of the theory of human development. Ehquidad 11: 27-54.
2. Sánchez A, Juárez M, Bustos JMY, García C (2018) Contraste de un modelo de expectativas laborales en exmigrantes del centro de México. Gestión de las Personas y Tecnología 32: 21-36.
3. Cruz E (2014) Multiculturalism, interculturalism and autonomy. Social Studies 43: 243-269.
4. González M, Iglesias C (2015) Decisions on housing tenure and acculturation of the foreign population resident in Spain. Economic Trimester 82: 183-209.
5. Tena J (2010) Towards a definition of civic virtue. Convergence 53: 311-337.
6. Carreón J (2013) Discourses on labor migration, return and social reincession based on group identity in Xilitla, micro-region of Huasteca Potosina (Mexico). In L. CANO (coord.), Poverty and social inequality. Challenges for the reconfiguration of social policy. (pp. 153-174). Mexico: UNAM-ENTS.
7. Sánchez A, Quintero ML, Sánchez R, Fierro E, García C (2017) Governance of social entrepreneurship: Specification of a model for the study of local innovation. Nomads 51: 21.
8. Carreón J (2016) Human development: Governance and social entrepreneurship. Mexico: UNAM-ENTS 143.
9. García C, Carreón J, Hernández J, Bustos JM (2016) Governance of risk from the perception of threats and the sense of the community. In S. VÁZQUEZ, BG Cid, E. MONTEMAYOR (coord.), Risks and social work (pp. 71-94). Mexico: UAT.
10. Carreón J, Hernández J, Quintero Ml (2016) Specification of a local development model”. In D. Del-CALLEJO, ME CANAL and G. HERNÁNDEZ (coord.), Methodological guidelines for the study of development (pp. 149-168). Mexico: Universidad Veracruzana.
11. Carreón J, Hernández J, Bustos JM, García C (2017) Business promotion policies and their effects on risk perceptions in coffee growers in Xilitla, San Luis Potosí, central Mexico. Poiesis 32: 33-51.
12. Rodríguez RF (2010) Xenophobic speech and agenda setting. A case study in the Canary Islands press (Spain). Latin Magazine of Social Communication 65: 222-230.
13. Carreón J, Morales M, Rivera B, Garcia C, Hernández J (2014b) Migrant entrepreneur and trader: State of knowledge. Tlatemoani 15: 1-30.
14. García C (2018) Coffee farming enterprise in migrants from the huasteca region of central Mexico. Equidad & Desarrollo 30: 119-147.
15. Campillo C (2012) The strategic management of municipal information. Analysis of issues, their treatment and irruption in the municipality of Elche (1995-2007). Magazine of Strategy, Trend and Innovation of Communication 3: 149-170.
16. Albert MC, Espinar E, Hernández MI (2010) The immigrants as a threat. Migratory processes in Spanish television. Convergence 53: 49-68.
17. Sojo C (2006) Social development, integration and public policies. Luminar Social and Humanistic Studies 4: 65-76.
18. Robles R (2013) Ministry of Social Development. Interview on eleven TV.
19. Carreón J, Hernández J, Morales MI, Rivera Bl, Limón GA, et al. (2014a). Towards the construction of a civil sphere of identity and public security. Realities 4: 23-36.
20. Carreón J, Hernández J, García C (2015) Migratory identity in the establishment of an agenda. Dialogues of Law and Politics 16: 69-87.
21. Fuentes F, Sánchez S (2010) Analysis of the entrepreneur profile: A gender perspective. Applied Economics Studies 28: 1-28.
22. García C (2008) The psychosocial dynamics of the migratory communities. Approaches 1: 137-152.
23. Gutiérrez R (2013) The linguistic dimension of international migrations. Languages and Migrations 5: 11-28.
24. García C, Carreón J, Hernández J, Aguilar A, Rosas F, et al. (2015) Differences in reliability against risk, uncertainty and conflict between coffee farmers in Xilitla, Mexico. Eureka 12: 73-93.
25. Long H (2013) The relationships between learning orientation, market orientation, entrepreneurial orientation, and firm performance. Management Review 20: 37-46.
26. Rentería V (2015) Socioeconomic panorama of international migration originated in Latin America and the Caribbean: state of the art. University Act 25: 40-50.
27. Yepes I (2014) Scenarios of Latin American migration: Transnational family life between Europe and Latin America. Roles of the CEIC 107: 1-27.
28. Martínez R (2011) Inclusive social protection: A comprehensive look, a rights approach. Seminar, Argentine social protection in Latin American perspective: inclusion and integrity challenges.
29. Cecchini S, Filgueira F, Martinez R, Rossel S (2015) Social protection instruments. Latin American roads towards universalization. New York: UN-ECLAC. 321.
30. Rodríguez A (2009) New perspectives to understand business entrepreneurship. Thought and Management 26: 94-119.
31. Yuangion Y (2011) The impact of strong ties on entrepreneurial intention. An empirical study based on the mediating role of self-efficacy. Journal Entrepreneurship 3: 147-158.
32. Amujo O, Otubango O, Adeyinka B (2013) Business news configuration of stakeholders opinions and perceptions of corporate reputation of some business organizations. International Journal of Management and Strategie 6: 1-27.
33. Ariza M (2002) Migration of family and transnationality in the context of globalization: some points of reflection. Mexican Journal of Sociology 64: 53-84.
34. Trimano L, Emanuelli P (2012) Social representations and citizen practices in the rural community: A contribution from strategic communication. Latin Magazine of Social Communication. 67: 494-510.
35. Ferreiro F (2013) Women and entrepreneurship: A special reference to business incubators in Galicia. RIPS 12: 81-101.
36. García C, Bustos Jm, Carreón J, Hernández J (2017) Theoretical and conceptual frameworks around local development. Margin 85: 1-11.
37. Sandoval FR, Carreón J, García C, Valdés O (2015) Formalization of dependency relationships between water and social variables for the management of sustainable local development. Kaleidoscope 2: 85-93.
38. Anguiano M, Cruz R, García R (2013) International migration of return. Trajectories and labor reintegration of Veracruz migrants. Population Papers 19: 115-147.
39. Barrón A (2013) Unemployment among agricultural day laborers, an emerging phenomenon. Development Problems Magazine 175: 55-79.
40. Fuentes G, Ortiz L (2012) The Central American migrant passing through Mexico, a review of his social status from the perspective of human rights. Convergence 58: 157-182.
41. Gavazzo N (2011) Actions and reactions: Forms of discrimination against Bolivian migrants in Buenos Aires. Journal of Social Sciences 24: 50-83.
42. Granados J, Pizarro K (2013) Paso del Norte, how far you are staying. Implications of return migration to Mexico. Demographic and Urban Studies 28: 469-496.
43. Izcarra S (2011) Migratory networks versus labor demand: the elements that shape the migratory processes. Convergence 57: 39-59.
44. Martínez G (2014) Chiapas: social change, migration and life course. Revista Mexicana de Sociología 76: 347-382.
45. Pérez M, Rivera M, Uribe I (2014) Migration from the perspective of employers of an agro-industry in the Altos de Jalisco, Mexico. Social Studies 43: 112-136.
46. Sabino J (2014) Internal migration and size of locality in Mexico. Demographic and Urban Studies 29: 443-479.
47. Wieviorka M (2007) Identities, globalization and inequality. Puebla: UIA.

DOI: 10.31038/ASMHS.2022622

Abstract

In 15 parallel studies dealing sources of anxiety, public and private, separate groups of approximately 120 respondents each evaluated different combinations (vignettes) of messages about anxiety -provoking situations. The vignettes presented the nature of the situation, the effect on people, the effort to contain the problem, and the individual’s response to the situation. Each respondent evaluated 60 unique combinations of these vignettes, rating each vignette on a 9-point scale (1=Can deal with it.9= Cannot deal with it.) Data suggest that the basic level of anxiety is approximately the same across the 15 sources of anxiety, but that the elements, the messages dramatically differ in their respective abilities to drive or to reduce anxiety. Surprising, many of the so-called efforts to deal with the anxiety, especially from the sources outside one’s family (e.g., government, local hospitals, etc.) increased anxiety, rather than diminishing it. The database (Deal with It!) shows the contribution to insights and to the social record from databases of studies of social situations, created in a systematic manner according to experimental design of ideas (Mind Genomics.)

Introduction

Anxiety is a leitmotif of our times, with a popular and an academic, as well as an artistic literature virtually unfathomable. A sense of the vastness of our concern may be given by today’s arbiter of social internet, Google, which counts the number of available websites dealing with a topic. Table 1 presents Google Scholar hits for different topics dealing with anxiety. The table is sorted by number of hits. These topics constitute the 15 assessed in the Deal With It! set of Mind Genomics cartographies.

Table 1: Google Scholar hits for the topic coupled with ‘anxiety’. Data up to2003

	Topic	Hits as of 2003
1	Relationships	1,130,000
2	Environment	954,000
3	Social Interactions	413,000
4	War	372,000
5	Sexual Failure	145,000
6	Lose Health	116,000
7	Aging	111,000
8	Failure of Health Care	109,000
9	Lose Income	57,700
10	Obesity	56,300
11	Infectious Disease	40,500
12	Phobias	26,800
13	Terrorism	20,900
14	Franken Food (Genetically modified)	18,800
15	Lose Assets	18,000

Anxiety pervades our life. It is the bread and butter of psychologists and others in the helping professions.. It is the topic of numerous self-help websites. And it is something familiar to many of us. Anxiety comes in such variety that the sheer vastness of the topic suffices to make one anxious, just dealing with that unwieldly richness.

This paper deals with anxiety as a situation presented in text form to a respondent, instructed to rate the degree that she or he can ‘deal’ with the situation or cannot deal with the specific described situation. We avoid the general topic of ‘anxiety’ and present the topic as something with which a person can deal. That is, we make the situation somewhat concrete by particularizing the events.

The origin of these studies emerged from consumer research promoted at first by an ingredients company, McCormick & Company, in 2001, but with a focus on food, not anxiety. That early focus led to a set of 30 parallel studies in what makes people really desire a food, called naturally ‘Crave It!’ [1,2]. The success of Crave It! quickly led to several other series of so-called It! studies, focusing first on food, then on beverages, on good-for-you foods, and finally and snack foods.

The early focus on foods also sparked focus on the approach to study situations. The major study to emerge was the use of this It! approach to study the responses to anxiety provoking situations. Rather than dealing with topics that were positive, the effort was focused on understanding how the different aspects of an anxiety-producing situation drive the response of ‘Can deal with it (rating = 1).to. Cannot deal with it (rating = 9)’. This paper presents an extensive analysis of those data.

Since the early research in 2003, Mind Genomics has been applied to anxiety-relevant situations,, such as the anxiety of teens in a doctor’s office [3]; anxiety in social situations [4], anxiety about the toxicity of house plans [5], and anxiety in the midst of a crisis in the pharmaceutical industry [6] The hallmark of these studies is the disciplined deconstruction of the issues into messages, their recombination by experimental design, the analysis of the new combinations, and the emergence of insight data about how people make decisions using the information provided [7,8].

Combining Mind Genomics with Anxiety – A Step by Step Development of the It! Cartography

The easiest way to understand what Mind Genomics may contribute to the study of anxiety is through an experiment, or in this case 15 experiments, run simultaneously, with similar patterns of elements, and similar patterns of analysis [4]. We call these experiments ‘cartographies’ because they ‘map out a terrain’ rather than focus on affirming or falsifying a hypothesis in the tradition of the more typical hypothetico-deductive approach to science. That is, we search for patterns, for regularities, upon which hypotheses can be developed. In sum, Mind Genomics as we see below is ‘hypothesis-generating.’

Step 1 – Create the Raw Material

The basic input for the Mind Genomics study is a topic, followed by a set of questions presenting different aspects of that topic and ‘telling a story’, and finally each question giving a set of answers which provide specific information. These answers take the form of a stand-alone phrases. Later the actual test stimuli will comprise vignettes, combinations of these answers (but never the questions.) It is vital that the answers, the elements, be able to stand alone, and make sense.

Figure 1 presents the 15 studies. The viewpoint of an It! project or even a single Mind Genomics cartography that there may be important things in a topic, the precision of learning will not be increased by repeating the same experiment many times, producing precision. It is better to cover many different topics, even if the coverage is more error prone because the resources are more fruitfully expended studying different topics, not the same topic with more people.

Figure 1: The 15 studies, shown by the 15 topics. The figure shows the ‘wall of choice.’ Respondents could see the available studies, choose one, and do the corresponding Mind Genomics study

Table 1 presents the three of the studies (Terrorism, Infectious Disease, Obesity). Table 1 shows the four questions, nine answers for each question, language and topic attempting to be parallel across the 15 studies. It was impossible to make the elements exactly parallel, since it was also vital to have the elements seem real and relevant.

Across the 15 studies and 36 elements per study, there were 540 elements. The 36 elements for a study were divided into the four questions. Within each question the types of elements were to be similar to each other across studies, although often this requirement some editing and wordsmanship to make the element both match the anxiety provoking situation, but be similar in form to the other elements of this type across the remaining 14 studies. Table 2 gives a sense of the 36 elements created for three parallel studies; terrorism, Infectious disease, and obesity, respectively

Table 2: Example of elements for three parallel studies; terrorism, infectious disease, and obesity

	Terrorism	Infectious disease	Obesity
	Question 1: What is happening?
A1	The media talking about potential terrorism acts…	The media talking about diseases that are spread by human contact or by the air…	The media talking about the increase in obesity…
A2	A bomb threat for a building that is a false alarm…	You have a dry cough and don’t feel so good…	You’ve added a few pounds…
A3	A bomb under your car…	You are getting a fever and don’t feel so good…	You’ve added a lot of extra weight….
A4	Bombs blowing up in the middle of a building…	You have some red bumps on your skin and don’t feel so good…	You can’t take the weight off…
A5	Fire raging through a building…	Your feel really run down…	You can lose it….but you just can’t keep the weight off…
A6	Contamination of the food supply…	You have been on an airplane that just came from some place that has some known infectious diseases	People look at your body and judge you…
A7	A deadly disease like smallpox or anthrax let loose….	You have to travel to a place that has some known infectious diseases	You just can’t control the eating…
A8	A Computer virus let loose that impacts your everyday businesses…	You know the disease has arrived in your country	You eat right, exercise, and still can’t keep the weight off…
A9	A dirty nuclear bomb set off …	You have to touch people that you know have some infectious disease	You are uncomfortable because of your weight doing what everyone does naturally…
	Question 2: Who is affected?
B1	In a non-populated area…	No one you know is affected…	You tell no one how you are affected…
B2	In a heavily populated area…	People you work with OR will be working with are affected…	People you work with are affected by your size…
B3	An area crowded with children…	Children are affected…	Your children are affected by your size…
B4	An area crowded with senior citizens…	Senior citizens are affected…	Your parents are affected by your size…
B5	An area filled with tourists…	Tourists are affected…	Strangers are affected by your size
B6	When you least expect it…	You never expected it to happen to you or someone close to you….	You never expected it to happen to you or someone close to you….
B7	During a Yellow alert…	People are getting sick in the location you have to travel to…	People around you are embarrassed…
B8	During an Orange alert…	Your health office warns you not to travel to this location…	People around you are so judgmental…
B9	During a Red alert…	The area you are traveling to is going to be or is quarantined	People around you don’t see you for who you are…
	Question 3: How do you react?
C1	You are all alone… and you feel helpless…	You think about it when you are all alone…and you feel so helpless	You think about it when you are all alone…and you feel so helpless
C2	You think about it, you just can’t stop thinking about it… and you feel uneasy….	When you think about it, you just can’t stop….	When you think about it, you just can’t stop….
C3	You’d drive any distance to get away from it…	You’d drive any distance to get away from it…	You’d drive any distance to get away from it…
C4	You are scared … inside and out	You are scared … inside and out	You are scared … inside and out
C5	You experience it all … seeing, smelling, tasting	You experience it in all your senses…	You experience it in all your senses…
C6	All the stress just builds up… you feel overwhelmed	All the stress just builds up… you feel overwhelmed	All the stress just builds up… you feel overwhelmed
C7	You experience temporary memory loss because there’s just too much to take in….	You experience temporary memory loss because there’s just too much to take in….	You experience temporary memory loss because there’s just too much to take in….
C8	While surrounded by family and friends….	Family and Friends play a big role in your life…	Family and Friends play a big role in your life…
C9	At a special moment… in your life	At a turning point in your life….	At a turning point in your life….
	Question 4: Who or what can help ?
D1	You trust that God will keep you safe	You trust your God will help you get through this	You trust your God will help you get through this
D2	You believe that international cooperation in the United Nations will keep you safe	You believe Charities will help you get through this	You believe your doctor will help you get through this
D3	You think United Nations Forces will keep you safe	You believe whatever insurance you have will help you get through this	You believe talking to a therapist will help you get through this
D4	You believe that Homeland Defense will keep you safe	You trust that the government and the airports will stop this from entering your country	You believe talking to diet counselor will help you get through this
D5	You believe that the Center for Disease Control will keep you safe	You believe your Local Hospital will get you through this	You believe a plastic surgeon will help you get through this
D6	You think that your Local police will keep you safe	You trust your doctor will get you through this	You believe that the food industry will work to help you find the right foods to eat
D7	You think that your Local hospital will keep you safe	You believe your company will help you get through this	You believe work will help you get through this
D8	It’s important for the Media will keep you informed	It’s important for the Media to keep you informed	It’s important for the Media to keep you informed
D9	You need to contact your friends and family to make sure they are OK…	Your family and friends will help get you through this…	Your family and friends will help until you get through this…

Step 2: Create Vignettes according to an Experimental Design

The heart of Mind Genomics is the use of combinations of stimuli, these combinations indicated by the underlying design. The design itself is simply a shell, ensuring that the elements are statistically independent of each other (allowing for OLS, ordinary east squares regression), and that the elements are laid out in such a way that each element appears equally often, and is absent an equal number of times from the full set of vignettes.

With the 4×9 design, the most popular during the early years, 2000-2006, a total of 60 combinations, called hence vignettes, comprised at most one element from a question, but quite often one or two of the questions was deliberated not allowed to contribute an element. The benefit of the design is that is can be automatically populated simply by a replacement table. The researcher need not have to think about the statistically issues. Figure 2 shows an example of a vignette comprising four elements. By design some vignettes comprised four elements (one answer from each question), other vignettes comprised three elements (one of the for questions did not contribute an element), and still other vignettes comprised two elements (two of the four questions did not contribute an element.) Each element appeared equally often.

Figure 2: Example of a four-element vignette for Terrorism

Each respondent evaluated a unique set of vignettes. The uniqueness was established by a permutation scheme which kept the mathematical structure intact but simply permuted the elements. This produces 60 unique combinations for each respondent. The experimental designed was prescribed by a permutation approach [8,9], and automatically embedded in the technology.

The rationale for the incomplete experimental design is the downstream ability to perform an OLS (ordinary least squares) regression analysis on the data of each individual respondent. This is known as a within-subjects design. Were there even as few as one respondent, it would still be possible to create a model showing the number of rating points that could be attributed to each of the 36 elements. That property of individual-level modeling will become important for clustering the data together to create mind-sets, an important aspect of Mind Genomics

Figure 2 presents a sample vignette that the respondent was shown. The vignette is simple, comprising simply the elements prescribed by the underlying experimental design, these elements simply placed there without any effort to connect that. The rating scale appears at the bottom. Although many marketing professionals prefer to test concepts which are full, more polished, with better production value, the reality is that the focus is on the respondent’s evaluation of the different vignettes, and the discovery regarding which specific elements drive the response. It is counterproductive, in fact, to make the vignette ore dense, more connected. The respondent ends up wading through additional ‘stuff’ to get to the information. It is the information, not the connectives, which are importance, and as a consequence, the spare structure shown in Figure 2 is ideal. The respondent does not get fatigued.

Step 3: Acquire Respondents

The respondents were invited to participate by an online-panel provider, Open Venue LTD, headquartered in Toronto, but providing respondents in both Canada and the United States. The respondent was invited to the general study by Open Venue Ltd. The respondents who participated was led to the ‘wall of available studies.’ Studies whose quotas were filled (approximately 120 completed respondents) ‘disappeared’ from the wall, so only the available studies with incomplete quotas appear for the choice.

The respondent was allowed to pick any study. Once the respondent selected the study, the respondent was led to the appropriate website. The first slide was the orientation slide (Figure 3). The orientation slide provides very little information about the study. Rather, the slide describes the topic by a few words, moves into the rating scale, and states that all the vignettes differ from each other. This last statement, viz., no repeat vignettes, emerged from exit interviews, where respondents said that they felt they were evaluating the same vignettes The reality is that the respondents were evaluating the same elements, but different combinations of the elements.

Figure 3: The orientation page at the start of each of the 15 Deal With It! studies. The only thing which changed from study to study is the name of the topic (Welcome to the Deal With It! Terrorism Study)

It is worth noting that the majority of Mind Genomics studies conducted during the past 25 years have been studies in which a third party, e.g., Open Venue Ltd., has used its panel. Respondents do not like to spend 10 minutes of their time unless they feel that their efforts are valuable, or unless there is a reciprocal arrangement of give/receive on both ends. The number of completes for a compensated study, here about 33%, is far greater than the number of completes were these studies to rely upon the donated time of respondents without compensation. No matter how interesting or exciting the study, most respondents really want ‘something’ in the way of compensation.

Step 4: Surface Analysis – How Many Respondents Participated vs. How Many Dropped Out?

The objective in this Mind Genomics It! study was to recruit approximately 120 respondents for each of the 15 studies, or approximately 1800 respondents. Figure 1 shows the ‘wall’. The respondent who participates could choose any of the studies available on the ‘wall.’ Without an artificial limitation, there would have been a preponderance of respondents choosing sexual failure, aging and war. To ensure an approximately equal number of respondents for each study, once the study reached about 120-125 completed respondents, the choice of the study disappeared. This strategy ensure the base sizes.

As part of the overall effort to balance the base size, the studies were launched at the same time, and the number of log-ins, as the number of completes were recorded on a daily basis for the first few days, and then done again after a three day hiatus. The rate of log-ins gives a sense of the interest in the topic. Figure 4 shows the cumulative number of log-ins over a two week period.

Figure 4: Cumulative log-ins for each study over a two week period. (No study exceed 125 respondents after successful log-in)

The key information in Figure 4 comes from the shape of the curve, and the number of log-ins need to reach the target quota of 120 respondents. The patterns can be deconstructed as follows:

a. Steep at first – lots of respondents are interested. Most of the topics are like that. Examples are Relationships and Phobias

b. Less steep at first – not as many respondents immediately interested. The best example is aging.

c. Concave downwards – the curve goes up, flattens into an asymptote. The study starts off strong but then fewer respondents are interested at the end. Example are Environment, Obesity

d. Linear all the way – the curve keeps going up in a straight line. The level of interest is the same from start to finish Examples are is Relationships and Aging.

e. Level at day 15 is low. The number of logins to reach quota is smaller. People are interested in the topic. The best example is Lose Income.

f. Level at day 15 is high. The number of logins to reach quota is higher. Many more people ‘drop out of the experiment along the way, so they are not counted as part of the quota. Good examples are Relationship and Aging

The second surface analysis is to understand who participated. Knowing WHO the respondent is for many studies helps only when one wants to identify the specifics of the target population either because the study is most pertinent to them now or because there may emerge a strong linkage between the results of the study and the particular applicability of those results to a self-defined group. Thus, respondents were instructed to provide information about their interests and lifestyle, as well as on their previous behaviors. This information should make the study more relevant as a source of information about what concerns people.

When we deal with 15 different studies, these studies dealing with different causes of anxiety and frustration, the patterns of who participated across the 15 studies interesting, even if there is no practical application as yet. Furthermore, the pattern of participation becomes even more interesting when one realizes that the respondents were free to select the study which interested them. After the respondent finished evaluating the test vignettes, the respondent completed a self-profiling questionnaire, telling the researcher about themself. The questionnaire instructs the respondent to self-classify in terms of gender, age, income, location where living, how severe is their experience with the anxiety, how frequently they experience the situation, the location, the ways they use to cope with the anxiety, and so forth.

Table 4 shows a reduced form, with the 15 topics as the data columns, the rows showing a few of the self-profiling questions answer by the respondent. We do not look at many classification levels, simply because the vast amount of data would simply overwhelm. Table 4 shows by shaded cells the most frequent anxiety situation for each of the classification questions. It is clear from Table that respondents have varying degrees of interest in the topic. The data do not suggest randomness. Rather, the frequency of choice of a topic may indirectly reflect the basic interest in the topic. The clearest evidence of that is the is the comparison of two topics situated next to each other in Table 4. The data speak for themselves. These are aging and sexual failure, respectively, with 123 and 124 respondents, respectively.

Age 31-50 Aging chosen by 38 respondents, sexual failure by 64 respondents

Age 51-7 4 Aging chosen by 81 respondents, sexual failure by 41 respondents

(other ages not shown in Table 3)

Table 3: The composition of respondents who participated in the 15 Deal With It! studies. The columns show the studies. The rows show a partial breakout of the subgroups, defined both how he the respondent experiences the anxiety, and who the respondent is from a geo-demographic viewpoint

Step 5: Relating the Elements to the Ratings Using Regression Modeling

The essence of Mind Genomics is the ability to relate the presence/absence of the elements to the response, using regression analysis. The fact that the combination were systematically created means that we can actually measure the degree of ‘causation’, viz., that the presence of a specific element actually covaries in a specific way with the rating.

The first step when we relate the elements to the ratings is to decide whether the ratings need to be ‘transformed.’ For most basic science it is entirely adequate to work with the original rating scales, and apply statistical procedures to the ratings. When we deal with the world of application, however, we face a problem. The problem is simple, and is stated something like the following: ‘What does a 7.08 mean?’ Is a 7.08 good or bad? What should i do with that rating of 7.08? The foregoing question uses the value of 7.08 just as an example.

Fortunately, the issue of ‘what does a scale point mean’ is not a new one. The consumer researchers often have opted for yes/no scales, and have converted the rating scale to a binary scale. Thus, in conventional consumer research the respondent might be instructed to rate ‘purchase intent’ on a five point scale, ranging from 1=definitely not buy 5=definitely buy. Rather than working with the actual rating assigned by the respondent, the consumer researcher may transform the rating to a more easily understand binary scale. The typical consumer researcher will transform the ratings 1, 2, and 3 to 0, and the ratings 4 and 5 to 100, respectively. The thus data which had started out as a simple scale (often called a category scale or a Likert scale) becomes a binary scale (not buy/buy.)

The foregoing analysis was done for these data. The respondents used a 9-point scale. The transformation was ratings 1-6 → 0, and ratings 7 → 100, respectively. As a prophylactic measure prior to regression, a vanishingly small random number (<10^-5) was added to each transformed rating. The rationale was to ensure that the regression analysis would work even when a respondent assigned all vignettes a rating of 1-6 (which would transform to 0) or a rating of 7-9 (which would transform to 100.) The regression analysis requires a vanishingly small bit of variability in the dependent variable, the transformed ratings.

After the ratings were transformed, the Mind Genomics program separately estimated the following equation for each respondent: Transformed Rating (Binary) = k₀ + k₁(A1) + k₂(A2). k₃₆(D₉.) The analysis was straightforward for the simple reason that the 60 vignettes evaluated by each respondent constituted a self-standing experimental design. That is, the data are ‘readable’ down to a base size of one respondent. One would never base the conclusion on one respondent so the approach is either to average the corresponding coefficients from the models of all respondents OR put in all the respondents from a single group into one analysis.

The equation provides a useful summary of the patterns in the data. We can think of the equation as showing the contributions of the different elements to the binary response of either I can’t deal with this (ratings 7-9, now converted to 100), or the binary response of I can deal with this, or may/may not be able to deal with this (ratings 1-6.)

As an analogy, think of a statue standing on its base. The base is the additive constant. The base can be low (low additive constant), or high, or very high (very high additive constant.) Following the base are the different parts of the statue that can be placed atop one another. The parts can be small (low positive coefficients) and can even take away some of the base and thus reduce the height (negative coefficients.) Or the parts can be large (high coefficients), or can even take away a lot of the base (high negative coefficients.)

The analogy of the statue goes one step further, namely the height can be calculated by adding together the additive constant (the base), and the coefficients of up to four elements, as long as the elements come from different questions. The elements can either add to the height (positive coefficients) or diminish the height (negative coefficients.)

Step 5: The Strongest Anxiety-producing Situations as shown by the Additive Constant

The additive constant provides a measure of basic likelihood to say, ‘I can’t deal with it’ (viz., ratings 7-9) in the absence of elements. The underlying 4×9 experiment design ensured that every vignette was populated by a minimum of two elements, a maximum of four elements, and that each of the four questions could contribute at most one element. The additive constant ends up being a purely estimated parameter, one useful to estimate the likely response to the (presumed) anxiety-provoking situation.

Previous studies with Mind Genomics suggest very low additive constants for items or services which do not excite interest. Examples include credit cards, whose additive constants hover around 10-20. To build interest in the credit card is hard. The offeror will have to discover elements which have high coefficients, elements to be added to the offering. In contrast, there are items which enjoy high additive constants, such as pizza, with an additive constant around 65-70. That means that in the absence of any elements, and just knowing the offering of pizza, around 65-70% of the responses will be positive. Returning to th example of th credit card, only 10% of the responses will be positive when the respondent knows the offering is a credit card. Again, other elements have to add to the offering.

Table 4 shows the 15 additive constants, one for each topic. The columns show the 15 studies. The rows show the key groups beginning with total panel, then genders, and then ages. There were other classification groups, but in the interest of clarity, only these are presented.

Table 4: The additive constants for the total panel and for key subgroups. Additive constants of 30 or higher are highlighted

To allow the patterns to emerge more clearly, all the additive constants of value 30 or higher are shown in shaded form. These are the anxiety provoking situations which, in theory, would generate at least 30% ratings of 7-9 (cannot deal with it), in the absence of elements.

The pattern of anxiety-provoking situations is clear from the additive constant. The big effects occur most strongly with ‘Lose Income.’ Then there are five more, ranging from obesity to relationships which are quite strong. The lowest level is occupied by Franken Foods (viz., non GMO), War, and Terrorism. Keep in mind that this study was run in 2003, after 9/11. Yet there is no free floating anxiety operative for terrorism as there is for losing one’s income, obesity, and sexual failure, three events or conditions which are real.

The ‘Deal with It!’ studies were open to everyone. The period around 2003 would see studies filling up into the hundreds of respondents. Surprisingly, however, The Deal with It study filled up very slowly, with most of the respondent being women, typically around three out of every four respondents. Nonetheless with the within-subjects design, even the 30 or so male respondents provide statistically stable data. That stability allows us to compare males and females. Females are anxious at a basic level about losing income, and losing assets respectively These are the important gender differences, viz., high additive constant, and large difference between the genders.

Step 6: The Elements Which Provoke the Strongest Anxiety Responses, and the Elements Which Provoke the Smallest Anxiety Response

The set of 15 studies provides 540 elements, each with a coefficient from the total panel showing the degree to which the element drives a rating of 7-9, viz., i cannot deal with what is being presented. Fortunately, the additive constants are similar to each other, and need not be considered. Recall that the additive constant is the predisposition for a respondent to feel anxiety (rate 7-9) in the absence of elements. Since the additive constants are reasonably close to each other (Table 4), we can feel comfortable looking at the magnitudes of the coefficients.

Table 5 shows the elements which provoke the great amounts of anxiety, namely elements with coefficients of +10 or higher for the total panel. Of the seven great anxiety-provoking elements, surprising three of these end up being statements about who will help you get through this (viz., loss of health being helped by charities and one’s company; the United Nations will keep us safe from terrorism.) There is no clear pattern for these severe anxiety-provoking elements, other than they are impersonal symbols of authority.

Table 5: Elements which reduce anxiety

Elements which reduce anxiety (Bigger negative = More Anxiety Reducing)
Study	Element	Coeff
Relationships	Your family and friends will help until you get through this…	-12
Relationships	You trust your God will help you get through this	-12
Lose your income	You trust your God will help you find new income	-12
Lose your health	You trust your God will help you get through this	-10
Lose assets	You trust your God will help you get through this	-10
Social interactions	You trust your God will help you get through this	-10
Relationships	Family and Friends play a big role in your life…	-8
Aging	Your family and friends will help get you through this…	-8
Sex failure	You believe passage of time will help you get through this	-8
Lose your assets	You trust your God will help you get through this	-8
War	It’s important for the Media to keep you informed	-7
Lose your assets	People you work with are affected by this situation…	-7
Aging	You trust your God will help you get through this	-7
Obesity	Your family and friends will help until you get through this…	-7
Lose your health	Family and Friends play a big role in your life….	-7
Sex failure	No one you know is affected by this situation…	-7
Obesity	Family and Friends play a big role in your life…	-7
Lose your assets	Family and Friends play a big role in your life…	-7

The second tier of elements, coefficients between 11 and 20, comprise mostly solutions. It is surprising that the presumed help to reduce anxiety instead ends up provoking anxiety (Table 4a).

Table 4a: Strongest anxiety-producing elements

Study	Elements which very strongly drive anxiety	Coeff
Lose Assets	You lose your home….	25
Lose Health	You believe Charities will help you get through this	25
Lose Health	You believe your company will help you get through this	22
Terrorism	A bomb under your car…	21
Aging	Living in an old age home….	20
Terrorism	A dirty nuclear bomb set off …	20
Terrorism	You believe that international cooperation in the United Nations will keep you safe	20
	Elements which strongly drive anxiety
Aging	You believe your plastic surgeon you have will help you get through this	19
Terrorism	You think United Nations Forces will keep you safe	19
Relationships	You believe dating services will help you get through this	18
Aging	You believe Charities will help you get through this	17
Environment	You trust that the Local government will keep the earth and you safe	17
Failure of Health Care	You believe Charities will help you get through this	17
Relationships	You believe talking to a lawyer or the courts will help you get through this	17
Sexual Failure	You were raped….	17
Environment	You trust that the Environmental Protection Agency will keep the earth and you safe	16
Environment	You believe that the Businesses impacted will work to keep the earth and you safe	16
environment	A radioactive plume of dust over you….	16
Lose Health	You believe whatever Supplemental insurance you have will help you get through this	16
War	A dirty nuclear bomb set off…	16
Environment	You trust that the government will keep the earth and you safe	15
Income Loss	You believe your insurance will help you find new income	15
Infectious Disease	You believe Charities will help you get through this	15
Lose Assets	You believe Charities will help you get through this	15
Lose Health	Your doctor says you don’t have long to live…	15
Sexual Failure	You believe dating services will help you get through this	15
Social Interactions	You believe taking the right drugs will help you get through this	15
Social Interactions	You believe Food or Drink will help you get through this	15
Terrorism	Bombs blowing up in the middle of a building…	15
Aging	You believe your company will help you get through this	14
Environment	You believe that international cooperation will keep the earth and you safe	14
Infectious Disease	You believe your company will help you get through this	14
Failure of Health Care	You believe your company will help you get through this	14
Terrorism	A deadly disease like smallpox or anthrax let loose….	14
Infectious Disease	You believe whatever insurance you have will help you get through this	13
Lose Health	Losing control of your bodily functions….	13
Infectious Disease	You trust that the government and the airports will stop this from entering your country in a big way	12
Failure of Health Care	The medical procedures you need are not covered by your insurance….	12
Lose Health	Your body eating itself away from within….	12
Lose Health	You believe whatever insurance you have will help you get through this	12
Relationships	You believe Food or Drink will help you get through this	12
Relationships	You believe Charities will help you get through this	12
Social Interactions	You believe Charities will help you get through this	12
Terrorism	You believe that the Center for Disease Control will keep you safe	12
Income Loss	You trust the government will help you find new income	11
Income Loss	You lose your job because you have done something wrong…	11
Failure of Health Care	You believe your Local Hospital will get you through this	11
Lose Assets	You believe Local government services will help you get through this	11
Obesity	You believe that the food industry will work to help you find the right foods to eat	11
Phobias	You’re afraid of speaking in public….and you must give a very important speech for your company to an audience of thousands….	11
Phobias	You’re afraid of spiders crawling near you…. and you have to reach in a dark musty space….	11
Environment	You believe that Greenpeace will keep the earth and you safe	10
Frankenfoods	You trust the government will keep the earth and you safe	10
Infectious Disease	You have to touch people that you know have some infectious disease….	10
Failure of Health Care	You believe whatever Supplemental insurance you have will help you get through this	10
Lose Assets	You lose your pension…	10
Lose Assets	You lose your car…	10
Lose Health	You believe your Local Hospital will get you through this	10
Social Interactions	Afraid to go out of the house….	10
Terrorism	Contamination of the food supply…	10
Terrorism	You believe that Homeland Defense will keep you safe	10

The Deal With It! studies were designed with ‘helping or ameliorating’ elements expected to score low on the 9-point scale, and thus expected to generate low coefficients, presumably negative one in the regression model (after binary transformation.) A negative coefficient tells us the degree to which adding the element to the vignette is expected to reduce the rating, below 7-9 anywhere to 1-6. We focus here on the elements with high negative coefficients, elements expected to drive the ratings down to around 1-3.

Table 5 shows those elements generating coefficients of -12 to -7. There are far fewer elements which reduce the rating of anxiety (viz., which move the rating from 7-9.) God and family and friends are the key elements which reduce anxiety. The other efforts, bringing in government, companies, etc., not only did not reduce anxiety, but rather increased anxiety, as Table 4 shows.

Step 7 – Most Seemingly Reasonable Solutions End Up Backfiring

One of the ingoing theses of the Deal With It! study is that the solutions selected would be effective, maybe perhaps strongly effective at times, weakly effective at others. The presumption was that those respondents suffering most severely would generate the biggest negative coefficients. Towards this end, the next analysis considered only those respondents who self-reported that they perceive themselves to suffer from the problem, and furthermore, rated their suffering extremely high (viz., 5 on a 5 point scale.) For these respondents we then looked at the performance of all elements which presented ‘solutions,’ or at least potential solutions.

Table 6 shows the coefficients for the elements. The only elements which appear in Table 6 are those which score strongly either in ability to decrease anxiety (high negative coefficients, -10 or lower), or on their ability to increase anxiety (high positive coefficients, +10 or higher.)

Table 6: Strong performing elements either reducing anxiety (negative coefficients +10.) The elements in the table are chosen from presume ‘solutions to the problem dealt with in the particular study.’ The table is sorted by the coefficients of those who say they ‘suffer extremely’ from the topic of the individual study

Table 6 surprised, because very few of the elements thought to be solutions to the problem are perceived as solutions. Rather, most of them are perceived as increasing anxiety, rather than decreasing anxiety. That is, the solutions are perceived as problems, not solutions. The only real solution appears to be God, which will be dealt with in the last analysis.

Step 8: In God We Trust

This analysis was occasioned by the observation that across the 10 studies where God was mentioned, most of them featured God as a believable reducer of anxiety, viz., someone or something which can help people ‘Deal With It’. Table 7 shows that in most of the studies and among the three groups (total, sufferer, extreme sufferer), the statement about God reduces the anxiety. The coefficients are mostly negative, many of them strongly negative, with values -10 or lower. These results suggest that at least as of 2003, Americans may have been become more secular, but God was still a comforting thought and presence to them across many of the topic issues causing anxiety.

Table 7: Coefficients for elements mentioning God, reported for Total Panel, for those self-reporting that they suffer anxiety regarding the study topic, or suffer extreme anxiety regarding the topic study

Step 9 – Uncovering Mind-sets based upon Anxiety-provoking Elements

A hallmark of the Mind Genomics approach is the hypothesis that people differ from each other in their responses to the various situations and ‘things’ in their everyday world, especially those situations and things which call forth emotional responses. The underlying difference among people is not new; individual differences have been recognized since the time of Aristotle and Plato, as well as Machiavelli, not to mention writers, poets, politicians, and the like [10,11]

The contribution of Mind Genomics is the ability to use a small, short experiment, inexpensive and scalable experiment to uncover patterns of responses to the everyday, working at the level of the granular experience. In doing so, Mind Genomics follows a well-trod path, finding its roots in psychology (especially those of individual differences), and consumer research (psychographic segmentation; [12]).

The segmentation approach for Mind Genomics works with the set of coefficients from the study, clustering the coefficients [13]. Those respondents in the same cluster are ‘similar to each other’ based upon the pattern of the coefficients. Those respondents in different clusters are ‘dissimilar to each other,’ again based on the pattern of coefficients. The clustering method is a mathematical treatment of the data, attempting to put the ‘things’ (here the respondents) into a small set of meaningful, interpretable groups.

The studies here featured different groups of elements, customized to fit the specific topic. As a consequence, the cluster analysis had to be conducted separately for each study. To get a sense of the different mind-sets, we created two clusters or mind-sets, doing separately for each of the 15 topics. Table 8 shows the base sizes and the additive constant for each of the mind-sets. For the most part, the additive constants for the two complementary mind-sets are similar in magnitude. It will be in the patterns of coefficients where the differences occur, generally in the elements which provoke anxiety (viz., the positive coefficients).

Table 8: Base sizes and additive constants for the two complementary mind-sets (MS1, MS2) for each topic

The elements which drive the strongest anxiety for the two mind-sets (now called Types) appear at the top of Table 9. We use the phrase Mind-Set Types to denote the fact that the mind-sets were developed separately for each topic. The elements which reduce the anxiety, appear in the bottom of Table 9. Keeping in mind that each study was subject to its own clustering analysis, it appears that there are two themes running through the mind-sets, themes which reveal themselves from the positive coefficients (anxiety-provokers), but not from the negative coefficients (anxiety-reducers).

Table 9: Elements which most strongly drive anxiety (top of table) and which most strongly reduce anxiety (bottom of table) for the 15 topics, for the two mind-set types

Topic		Mind-Set Type A Anxiety Provokers		Mind-Set Type B Anxiety-Provokers
Aging		Living in an old age home….	30	You believe Charities will help you get through this	32
Environment		A radioactive plume of dust over you….	28	You trust that the Environmental Protection Agency will keep the earth and you safe	31
Lose Health Insurance		The medical procedures you need are not covered by your insurance….	15	You believe your Local Hospital will get you through this	37
Franken Food		You are scared … inside and out	11	You trust the government will keep the earth and you safe	21
Lose Income		You lose your job because you have done something wrong…	14	You believe your insurance will help you find new income	25
Infectious Disease		You have to touch people that you know have some infectious disease….	16	You believe Charities will help you get through this	31
Lose Health		Your doctor says you don’t have long to live…	32	You believe Charities will help you get through this	39
Lose Assets		You lose your home….	34	You believe Charities will help you get through this	33
Obesity		You just can’t control the eating…	12	You believe a plastic surgeon will help you get through this	26
Phobias		You’re afraid of flying….and you must fly across the ocean….	17	You believe Charities will help you get through this	23
Relationships		You believe dating services will help you get through this	5	You believe dating services will help you get through this	32
Sexual Failure		You were raped….	21	You believe dating services will help you get through this	37
Social Interactions		You just can’t function….	14	You believe Food or Drink will help you get through this	28
Terrorism		A dirty nuclear bomb set off …	39	You think United Nations Forces will keep you safe	34
War		A dirty nuclear bomb set off…	23	You believe international cooperation in the United Nations will keep you safe	28
Topic	MindSet A- Anxiety Reducers			Mind-Set B – Anxiety Reducers
Aging		You trust your God will help you get through this	-12	Not having as much energy as you used to….	-10
Environment		You believe that Greenpeace will keep the earth and you safe	-10	You trust that God will keep the earth and you safe	-6
Lose Health Insurance		You trust your God will help you get through this	-15	You are scared … inside and out	-15
Franken Food		You believe international cooperation will keep the earth and you safe	-6	It’s important for the Media to keep you informed	-11
Lose Income		You trust your God will help you find new income	-18	Business downturns that result in layoffs in your company….	-7
Infectious Disease		You trust your God will help you get through this	-11	Your family and friends will help get you through this…	-5
Lose Health		You trust your God will help you get through this	-19	Family and Friends play a big role in your life….	-7
Lose Assets		You trust your God will help you get through this	-10	A burglar steals your jewelry and other things that are important to you…	-10
Obesity		Family and Friends play a big role in your life…	-11	You trust your God will help you get through this	-10
Phobias		You trust your God will help you get through this	-13	You’re afraid of being in crowds…. and you must go shopping at Christmas time….	-9
Relationships		Not getting along with your partner…	10	Not getting along with your partner…	-7
Sexual Failure		You believe passage of time will help you get through this	-11	You have performance issues….	-11
Social Interactions		You believe talking to a therapist will help you get through this	-15	You trust your God will help you get through this	-8
Terrorism		A Computer virus let loose that impacts your everyday businesses…	-2	You need to contact your friends and family to make sure they are OK…	-11
War		You trust that God will keep you safe	-14	Seeing my friends or family getting called up to go fight…	-5

The underlying pattern which continues to emerge is that Mind-Set A respondents strongly to actual events which are presumed to provoke anxiety. In contrast, Mind-Set B respondents respond strongly to social institutions which presumably should reduce anxiety but for respondents in this second group of 15 mind-sets ends up increasing anxiety.

The story is different when we look at the elements which reduce anxiety (bottom of Table 9). Mind-Set Type A believes in the elements which presumably ameliorate anxiety, being designed to do so. In contrast, Mind-Set Type B, which showed the aberrant responses to helping elements (provoking anxiety) appear to be totally random in what ends up ameliorating anxiety (viz., elements with highest negative elements). Generally their negative numbers are far smaller than the negative numbers of Mind-Set Type A, suggest two radically different groups when it comes to what seems to drive anxiety.

Discussion and Conclusions

A cursory exploration of the topic of ‘anxiety’ brings up tens of thousands of ‘hits’ and many papers dealing with the manifold dimensions of anxiety. One could look at the topic of anxiety from deep inside the person, such as the approach espoused by psychoanalysis, or perhaps move a little more to the surface with cognitive behavioral therapy. Certainly, anxiety is no stranger to the world of clinical psychology, or business psychology, because of its prevalence and potentially damaging effects. Clinical psychology can teach us a lot about anxiety, from cause to manifestation to effects.

Moving beyond the clinical world is the effects of anxiety on the person’s performance in the world, experiences, and interactions with the world of the everyday. Whether this be anxieties about what a person doe (e.g., relationships, sexual failure, etc.), to who a person is (e.g., aging), to what external events occur (e.g., lose health, lose assets), there is the need to understand the surround of this life-relevant interaction. There has been a lot published on these different, relevant aspects of anxiety. A Google Search of the phrase ‘Anxiety in everyday life’ brings up 12.5 million hits as of this writing (winter, 2022.) The same phrase in Google Scholar (r) as of winter, 2022, brings up 1.6 million hits. When we limit the search to end at 2003, the number of hits drops to 155,000.

The foregoing observations tell us that there is a great interest in the topic of anxiety. At the same time, a search through the literature, or in Google Scholar (r) reveals the scattered nature of the topic. Each author focuses on that which is interesting, going in deeply. One does not have any sense of the world of anxiety dealt with in the coherent way done by a set of parallel Mind Genomics cartographies. The goal of the Mind Cartography is to systemize the data, and create understanding of the topic from the point of view of the everyday. Mind Genomics approach provides a way to understand anxiety and to allay it in a way which seems both practical and theoretical, working at the level of the granular, and yet giving a vision of a galaxy of such topics. Relevant data for the topics might be assembled painstakingly from the published literature, but without a coherent set of raw data underlying the studies. With Mind Genomics, a few weeks, and a modest budget, the entire study can be repeated. The integrated database of the granular aspects of daily experience promote new-to-the-world discoveries, easily found, analyzed, synthesized, and integrated in both current thinking and visions of new vistas.

Acknowledgments

The author would like to acknowledge the early collaborations with Jacqueline H. Beckley and Hollis Ashman (deceased), which led to the IT! studies, one of which was Deal With It! presented here.

References

1. Beckley J, Moskowitz HR (2002) Databasing the consumer mind: the crave it!, drink it!, buy it! & healthy you! databases. In Institute of Food Technologists, Annual Meeting, Anaheim, California.
2. Moskowitz HR (2004) Evolving Conjoint Analysis: From Rational Features/Benefits to an Off-the-Shelf Marketing Database. In Marketing Research and Modeling: Progress and Prospects 215-230. Springer, Boston, MA.
3. Gabay G, Moskowitz HR (2015) Mind Genomics: What Professional Conduct Enhances the Emotional Wellbeing of Teens at the Hospital? Journal of Psychological Abnormalities Child 4: 147.
4. Gofman A (2009) Extending psychophysics methods to evaluating potential social anxiety factors. Medicine 17: 1337-1342.
5. Keene SA, Kalk TN, Clark DG, Colquhoun TA, Moskowitz HR (2017) Indoor plant toxicity concerns some consumers. In; Proceedings of the 2017 Annual Meeting of the International Plant Propagators’ Society, pp. 361-366.
6. Moskowitz H, Rabino S, Gofman A, Moskowitz D (2007) Effective and confident communications in the midst of a major crisis: An experiment in the pharmaceutical context. International Journal of Pharmaceutical and Healthcare Marketing 1: 318-348.
7. Moskowitz HR, Gofman A (2007) Selling blue elephants: How to make great products that people want before they even know they want them. Pearson Education.
8. Moskowitz HR, Gofman A, Beckley J, Ashman H (2006) Founding a new science: Mind genomics. Journal of Sensory Studies 21: 266-307.
9. Gofman A, Moskowitz H (2010) Isomorphic permuted experimental designs and their application in conjoint analysis. Journal of Sensory Studies 25: 127-145.
10. Stanovich KE (1999) Who is rational?: Studies of individual differences in reasoning. Psychology Press.
11. Stanovich KE, West RF (2000) Individual differences in reasoning: Implications for the rationality debate? Behavioral and brain sciences 23: 645-665.
12. Wells WD (1975) Psychographics: A critical review. Journal of marketing research 12: 196-213.
13. Diday E, Simon JC (1976) Clustering analysis. In: Digital Pattern Recognition (pp. 47-94.) Springer, Berlin, Heidelberg.