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This chapter analyzes the development of the relationship between the social sciences and sport in Argentina – from its first steps, to the present, and to possible future issues. The description of Arbena (1999) from the last part of twentieth century about the situation of the social sciences and sport in Latin America in general and Argentina in particular could not be more precise:

Latin America has produced little scholarly analysis of sport and society, though information and insights are found in other types of writings, journalistic accounts such as club histories and popular biographies. What has been focused on soccer normally treats only the author’s own country, and is rarely available in English. Nowhere does a single author or academic group dominate. (Arbena, 2000, p. 548)

Latin America has produced little scholarly analysis of sport and society, though information and insights are found in other types of writings, journalistic accounts such as club histories and popular biographies. What has been focused on soccer normally treats only the author’s own country, and is rarely available in English. Nowhere does a single author or academic group dominate. (Arbena, 2000, p. 548)

We also make reference to how the anthropologist Eduardo Archetti breaks that mold described by Arbena and how he becomes the undisputed referent in the study of the social sciences and sport in Argentina, and how his immense contribution is recognized in the region. We analyze the present status of this topic, its major changes, the development that the area has undergone so far, and the issues that are being studied today. Moreover, we mention the importance of sociology of sport in the academic field and its formalization. Finally, this chapter also considers possible future trends in the sociology of sport in Argentina.

Taking as a case study the city of San Carlos de Bariloche – in northern Patagonia, Argentina – this paper aims to compare its urban structure with previous urbanization models and identify some characteristics of this tourist city that could inspire the construction of an adapted urban model for Latin American tourist cities, particularly those based on natural attractions.

Based on multivariate analysis of population census data and local economic statistics, this paper compares the residential location of different social groups and the location of main economic activities in Bariloche. First, principal component analysis (PCA) is combined with cluster analysis to classify Bariloche’s neighborhoods. Second, different maps are analyzed to study the location of economic activities, in comparison with previous clusters.

The results of this paper show that Bariloche partially adjusts to previous urbanization models, as the landscape and physical environment determine the characteristics of its urban growth, as well as the development of tourist activities. Therefore, this paper then proposes an adapted urban model for the case of Bariloche, which could be also contrasted with other Latin American tourist cities in the future.

Bearing in mind that there is no model of Latin American tourist cities so far, this paper tries to analyze to what extent the assumptions and patterns of previous urban models could be adapted to Latin American tourist cities, such as Bariloche, which base their attractiveness and economic dynamism on its natural physical environment.

The purpose of this paper is to present a new quantum‐inspired evolutionary hybrid intelligent (QIEHI) approach, in order to overcome the random walk dilemma for stock market prediction.

The proposed QIEHI method is inspired by the Takens' theorem and performs a quantum‐inspired evolutionary search for the minimum necessary dimension (time lags) embedded in the problem for determining the characteristic phase space that generates the financial time series phenomenon. The approach presented in this paper consists of a quantum‐inspired intelligent model composed of an artificial neural network (ANN) with a modified quantum‐inspired evolutionary algorithm (MQIEA), which is able to evolve the complete ANN architecture and parameters (pruning process), the ANN training algorithm (used to further improve the ANN parameters supplied by the MQIEA), and the most suitable time lags, to better describe the time series phenomenon.

This paper finds that, initially, the proposed QIEHI method chooses the better prediction model, then it performs a behavioral statistical test to adjust time phase distortions that appear in financial time series. Also, an experimental analysis is conducted with the proposed approach using six real‐word stock market times series, and the obtained results are discussed and compared, according to a group of relevant performance metrics, to results found with multilayer perceptron networks and the previously introduced time‐delay added evolutionary forecasting method.

The paper usefully demonstrates how the proposed QIEHI method chooses the best prediction model for the times series representation and performs a behavioral statistical test to adjust time phase distortions that frequently appear in financial time series.

The purposes of this study were to describe the roles mentors enacted as part of an afterschool science, technology, engineering and mathematics (STEM) program and how those roles varied across three sites and to explain those differences.

The authors used a comparative case study design and collected data primarily from interviews with program mentors and observations of the sessions.

The authors found that the mentors played four roles, depending on the school site: teachers, friends, support and role models. Mentors interpreted cues from the environment in light of their own identities, which ultimately led them to construct a plausible understanding of their roles as mentors.

The authors identify four mentoring roles that are somewhat consistent with prior research and demonstrate that the roles mentors enact can vary systematically across sites, and these variations can be explained by sensemaking. This study also contributes to research on mentoring roles by elaborating each identified role and offering a framework to explain variability in mentor role enactment.

The authors recommend that mentoring program directors discuss the roles that mentors may enact with mentors as part of their training and that they engage mentors in identity work and also recommend that program managers create unstructured time for mentors to socialize outside STEM activities with their mentees.

This study contributes to mentoring research by using sensemaking theory to highlight how and why mentoring roles differ across school sites.

The purpose of this paper is to analyse the evolution and characteristics of health education in schools in Spain during the dictatorship of General Franco (1939-1975).

The analysis of two kinds of sources has been performed. First, the reports from international organizations on health education in schools published in the 1950s and 1960s. Second, journals, books and official documents published by public health and education organizations in Franco’s Spain.

Health education in schools evolved in three stages under Franco’s dictatorship. In the first stage (1939-1953), Spanish schools maintained an outdated “school health” approach in the teaching programmes. In the second stage (1953-1965), the agreements with the USA in 1953 ended Spanish isolation, and the regime sought to follow the recommendations of international organizations. Efforts were made to “import” the WHO/UNESCO version of health education in schools but it failed to materialize. A programme that sought to enhance citizen participation and to acknowledge their idiosyncrasies was unlikely to prosper in a dictatorship. However, the less threatening food and nutrition education programme, encouraged by the FAO/UNICEF, did succeed. In the last stage (1965-1975), the Spanish education system entered a period of modernization in which the contents and methods of health education in schools were reformed in order to introduce the less conflictive aspects of the international recommendations.

The paper highlights the tensions between the aspirations to follow international programmes and the recommendations on health education in schools and the difficulties of implementing such schemes under a dictatorship.

Conversations surrounding gender are sweeping the globe as the voices and lived experiences of people are being heard and shared at unprecedented rates. Discourses about gender in advertising are embedded in cultural narratives and legitimatized by a broad system of institutional structures and actors, at both macro and micro/consumer levels. This study aims to explore how consumers (one type of institutional actor) engage in legitimizing/delegitimizing messages of gender in the marketplace.

This research draws on a qualitative approach, specifically the use of in-depth interviews with men across three global contexts.

This research identifies the ways in which men engage in (de)legitimizing messages of masculinity in advertising such as reiteration, reframing, ascribing to alternate logics and prioritizing personal norms.

Across three contexts, this research theorizes the (de)legitimization of gender ideals in advertising and situates consumer narratives within broader institutional forces, providing a holistic understanding of the phenomenon.

Understanding the ways in which individuals either accept or reject gendered ideals in media aids advertising and marketing professionals in tailoring messages that resonate with audiences.

Understanding how individuals negotiate their gender and the messages they deem as legitimate are crucial to understanding gender issues related to consumer welfare and public policy.

While research has examined advertising practitioners’ views regarding gender from an institutional perspective, research on how consumers construct and maintain the legitimacy of gendered messages in the marketplace is scarce. This research theorizes and illustrates the (de)legitimization of gender ideals across three contexts.

In this paper, the authors adopt the theory of the circular economy to study the transitions that take place in three case studies in Mexico and Ecuador. The work is aimed to systematize a circular economy assessment tool that fosters opportunities for improvement in business practices.

The methodology is based on a descriptive quantitative analysis, where a checklist is made with 91 items and nine study variables. This is from the study of the bibliography and business practice. Furthermore, the neural network method is used in a case study to predict the level of circular economy and the importance of each variable according to the sensitivity by the Lek’s profile method.

It is based on a descriptive quantitative analysis, where a checklist with 91 items and nine study variables is made, defined from a bibliographic study and business practice. Furthermore, the neural network method is used in a case study to predict the level of circular economy and the importance of each variable based on sensitivity.

The application of the tool requires prior knowledge of the circular economy approach, which is why specialized personnel are needed for its application. This makes research more expensive in time and human resources.

The practical and methodological contribution of this work lies in the feasibility of the tool that favors the definition of improvement actions for the implementation contribution to the circular economy in business practices.

The social contribution is framed in the gradual transition to circular economy approaches in underdeveloped countries.

The use of the neural network method to predict the level of circular economy in a case study allows making decisions in a predictive way. This encourages the development of the circular economy according to the context needs.

En este trabajo adoptamos la teoría de la economía circular para estudiar las transiciones que ocurren en tres casos de estudio en México y Ecuador. El trabajo tiene como objetivo sistematizar una herramienta de evaluación de la economía circular que fomente oportunidades de mejora en las prácticas empresariales.

La metodología se basa en un análisis cuantitativo descriptivo, donde se elabora un checklist con 91 ítems y nueve variables de estudio. Esto a partir del estudio de la bibliografía y la práctica empresarial. Además, el método de la red neuronal se utiliza en un estudio de caso para predecir el nivel de economía circular y la importancia de cada variable según la sensibilidad utilizando el método Lekprofile.

Los resultados muestran que la herramienta es aplicable a diferentes contextos y simultáneamente permite la evaluación de la economía circular de forma holística. Además, la herramienta se puede vincular a técnicas predictivas, como el método de red neuronal. Esto se demostró en un estudio de caso.

en el uso del método de redes neuronales para predecir el nivel de economía circular en un caso de estudio. Esto permite la capacidad de tomar decisiones de forma predictiva y esto incentiva el desarrollo de la economía circular según la necesidad del contexto.

Las limitaciones se centran en la necesidad de conocer el tema de la economía circular para la aplicación de la herramienta. Por lo tanto, se necesita capacitación antes de comenzar un nuevo estudio. Esto encarece la investigación en tiempo y recursos humanos.

El aporte práctico y metodológico de este trabajo radica en la viabilidad de la herramienta que favorece la definición de acciones de mejora para la contribución de la implementación a la economía circular en las prácticas empresariales.

La contribución social es parte de la transición gradual a enfoques de economía circular en países subdesarrollados.

This paper aims to investigate the relationship between the female board participation and the readability of annual report.

Using hand-collected data from a “network-oriented market”, as exists in Italy, which includes 435 annual reports, this study uses a regression analysis to test whether female board participation affects the annual report readability.

Female board participation is found to have a positive impact on disclosure readability in firms with small boardroom connections but the opposite effect in firms with large boardroom connections.

This paper responds to recent calls in the corporate governance literature by investigating whether the female board participation affects the transparency of the disclosure practices.

This study has policy implications, as it helps to improve evaluations of how, and under which circumstances, female board participation may lead to higher disclosure quality and thus benefit investors.

This paper shows that female board participation has different effects on the disclosure readability at different levels of board positions in inter-firm networks.

This paper analyses the strategies designed by Franco´s dictatorship to address the “problem” of children with physical disabilities, focusing on the relevance given to vocational training.

The paper draws mainly on official documents, reports from international organisations, and Spanish experts' papers.

Francoism turned labour into one of the key pillars of its national project and included vocational training in the different stages of school life. From the mid-1950s, vocational training also became a key factor for the dictatorship's strategy towards disability. Following the recommendations issued by international agencies, Francoism began to adopt different measures towards the rehabilitation of children with disabilities. One of them was the creation, in 1959, of a special unit for adolescents within the National Institute for the Rehabilitation of Invalids. In addition to medical treatment, this unit provided children with education and vocational training.

The value of this paper lies in the fact that the topic it analyses has been little studied. Until now no attention has been given to the special unit for adolescents, despite it being a very interesting example of the medical model of disability and its contradictions. During their stay at the unit children were promised greater autonomy and independence, but their lives also became medicalised and they were forced to collaborate with experts.