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Although our understanding of mental health and well-being is continually evolving, certain populations such as individuals deprived of liberty remain understudied and stigmatized. Despite ongoing research in various countries, mental health exploration in Chile lags behind nations like the USA. Recognizing this gap, this study aims to address this disparity by analyzing subjective well-being and mental health levels within a Chilean prison setting in the postpandemic context.

Design was nonexperimental, cross-sectional, descriptive and relational using quantitative techniques. Data was collected using Ryff and brief DASS-21 scales into three different sections of the studied prison. In total, 97 people participated. Data was analyzed using descriptive statistical analysis.

Levels of subjective well-being range from mild to low, with best scores in environmental mastery and worst in autonomy. Women obtained best scores on purpose in life and positive relations with others. Mental health levels measured in terms of anxiety, depression and stress showed worst levels in males. A positive correlation was observed between mental health and substance use and between mental health and violence.

Answers depend on the victim's report, which is biased by its interpretation, along with fearing consequences from the answers and distrust in authorities. This can lead to altered (unrealistic) values in relation to substance use, violence suffered and levels of subjective well-being, among others. Another limitation is the number of participants of this study, along with the fact that it was carried out in only one penitentiary center in Chile.

A challenge and a practical implication of this study is the need to do more work to promote mental health and well-being. Specifically, within this limited context where survey can send bias responses, a challenge is to work and promote mental health from a gender a perspective.

Results presented here also highlight the relevance of studying in depth prisoners’ mental health, considering gender differences across well-being and mental health variables. Moreover, it shows the importance and urgence to advance in respecting human rights, as democratic and diverse societies, and in terms of ethical aspects linked to research of this type in vulnerable populations like prisoners.

This study contributes to the understanding on the intricated interplay between subjective well-being, mental health and various factors within prison environments, offering valuable insights for targeted interventions and policy considerations.

Gloria Pritchett – the fiery and caring Latina mother in Modern Family – is believed to recreate cultural and gender stereotypes. This audience study was interested in situating her as an intersectional representation to recognize that numerous social categories coproduce her characterization not just one. Textual analyses of open-ended questions reveal that participants tend to explicitly and exclusively discuss her stereotypes in ethnic and gender terms, with an emphasis on the former. However, a semantic analysis of the words/adjectives used to describe Gloria Pritchett suggested these share meaning across multiple social categories. Some aspects of her representation, like those based on ethnicity and gender (her Latina wisdom) or ethnicity and social class (her social mobility from Colombia to the United States), were found commendable, respectable, and likable. Eventually, the social identities encompassing Gloria Pritchett are taken apart and compounded, which in turn, suggest that her intersectionality was malleable for viewers.

The national immigrant rights campaign of 2006 stands as one of the largest mobilizations by people of color in US history, yet less scholarly attention has been given to systematically comparing these mobilizations at the local level. To develop an understanding of what led to sustained mobilization, a comparative case study analysis of seven cities in California's San Joaquin Valley is employed. The empirical evidence is based on interviews with key organizers and participants, newspaper documentation of protest events, census data, and other secondary sources. I find that the presence and size of policy threats explained the initial protest during the spring of 2006 in all localities, but cities with elaborate resource infrastructures (preexisting organizations, histories of community organizing, and coalitions) had more enduring levels of collective action.

The purpose of this paper is to explore the dark side of news community forums: the proliferation of opinion manipulation trolls. In particular, it explores the idea that a user who is called a troll by several people is likely to be one. It further demonstrates the utility of this idea for detecting accused and paid opinion manipulation trolls and their comments as well as for predicting the credibility of comments in news community forums.

The authors are aiming to build a classifier to distinguish trolls vs regular users. Unfortunately, it is not easy to get reliable training data. The authors solve this issue pragmatically: the authors assume that a user who is called a troll by several people is likely to be such, which are called accused trolls. Based on this assumption and on leaked reports about actual paid opinion manipulation trolls, the authors build a classifier to distinguish trolls vs regular users.

The authors compare the profiles of paid trolls vs accused trolls vs non-trolls, and show that a classifier trained to distinguish accused trolls from non-trolls does quite well also at telling apart paid trolls from non-trolls.

The troll detection works even for users with about 10 comments, but it achieves the best performance for users with a sizable number of comments in the forum, e.g. 100 or more. Yet, there is not such a limitation for troll comment detection.

The approach would help forum moderators in their work, by pointing them to the most suspicious users and comments. It would be also useful to investigative journalists who want to find paid opinion manipulation trolls.

The authors can offer a better experience to online users by filtering out opinion manipulation trolls and their comments.

The authors propose a novel approach for finding paid opinion manipulation trolls and their posts.

Based on the Natural resource-based view (NRBV), this study aims to analyze the association between the Sustainable Development Goals related to Gender Equality, Decent Work, Innovation, and Climatic Action in the Food Industry.

A quantitative study is adopted based on the 2019 World Bank Enterprise Survey microdata. The database includes 1,242 food enterprises from 16 European Union countries. We applied logistic regression with cluster robust standard errors.

Despite global efforts to promote decent work and gender equity, the anticipated results have not yet been achieved, suggesting varying performance in different contexts. Food firms, characterized by significant environmental impacts and seasonal tasks, employ diverse Human Resource Management (HRM) strategies based on whether they pursue innovation or environmental objectives. Grounded in the NRBV, our findings underscore the importance of investing in qualified workers and offering attractive wages to meet environmental goals, as well as providing stable contracts for female workers. The NRBV framework also highlights the crucial role of product and process innovations, whether green or not, in achieving climate action objectives.

European policies must be adapted to the human resources characteristics in the food industry, providing specific training on environmental and innovation issues and contributing to more work stability and gender equality.

Our study applies the NRBV to analyze how human resources and product/process innovations can boost environmental preservation in an industry characterized by strong environmental impacts, seasonal tasks, and financial constraints.

This study aims to understand how perceived desirability and perceived feasibility influence Portuguese higher education students' social entrepreneurial intention and general entrepreneurial intention and explore how gender attitudes can affect these relationships.

This study's sample comprises 391 participants. The hypotheses formulated in the research model were tested through structural equation modelling, using the bootstrapping method to perform decomposition tests and multigroup analyses to assess the effect of gender on perceived desirability, perceived feasibility and social and general entrepreneurial intention.

The sample data reveal that women have a greater social entrepreneurial intention, and men have a greater general entrepreneurial intention. The results regarding the research model reveal that perceived desirability positively influences social and general entrepreneurial intention, with stronger relationships for men than for women. However, perceived feasibility positively influences overall entrepreneurial intention but is insignificant in explaining social entrepreneurial intention. When the differences between genders are analysed, the perceived feasibility by women is significant and positively influences the social entrepreneurial intention, not being significant when men are considered. Contrary to previous studies about higher education students, men have a higher perceived desirability in both general and social entrepreneurial intentions, while women have a stronger perceived feasibility in both general and social entrepreneurial intentions.

This paper contributes to the development of the social entrepreneurship literature, demonstrating that social entrepreneurial intention can be influenced by gender. The results show the importance of considering the spatial and organisational context in examining the relationships between perceived desirability/perceived feasibility and social entrepreneurial intentions of men and women.

Proponents of community engagement to promote social change advocate bringing together researchers, practitioners, politicians, business leaders, advocates and other relevant stakeholders to identify and solve community problems and issues. This chapter will describe the need for academic and community partnerships, how academic institutions can develop priorities, governance and financial structures that facilitate stronger, more effective community relationships and make contributions to the resolution of social ills. The current literature on community engagement, community-based participatory research, community action research, community-engaged scholarship and service-learning are reviewed. The principles and tenets of engaged scholarship are reviewed, barriers to implementation are discussed and examples provided. Academic institutions can play an important role in social change if they are willing to embrace community engagement. A key to success is building trust, sharing power, fostering co-learning, enhancing strengths and resources, building capacity, and addressing community-identified needs. Academic participation requires institutional and faculty commitment to engagement principles, flexible and inclusive governance structures and strategies to educate community members. The development of the relationships and structures required for successful community engagement can be inhibited by imbalances in power and knowledge that often exist among practitioners, researchers, and community members. This review may assist academic institutions to examine implementation of tenure and promotion policies, oversight strategies and structures that assure community development and benefit, as well as opportunities for faculty, staff and student training on principles and best practices of community-engaged research.

Testing is one of the indispensable activities in software development and is being adopted as an independent course by software engineering (SE) departments at universities worldwide. The purpose of this paper is to carry out an investigation of the performance of learners about testing, given the tendencies in the industry and motivation caused by the unavailability of similar studies in software testing field.

This study is based on the data collected over three years (between 2012 and 2014) from students taking the software testing course. The course is included in the second year of undergraduate curriculum for the bachelor of engineering (SE).

It has been observed that, from the performance perspective, automated testing outperforms structural and functional testing techniques, and that a strong correlation exists among these three approaches. Moreover, a strong programming background does help toward further success in structural and automated testing, but has no effect on functional testing. The results of different teaching styles within the course are also presented together with an analysis exploring the relationship between students’ gender and success in the software testing course, revealing that there is no difference in terms of performance between male and female students in the course. Moreover, it is advisable to introduce teaching concepts one at a time because students find it difficult to grasp the ideas otherwise.

These findings are based on the analysis conducted using three years of data collected while teaching a course in testing. Obviously, there are some limitations to this study. For example, student’s strength in programming is calculated using the score of C programming courses taken in previous year/semester. Such scores may not reflect their current level of programming knowledge. Furthermore, attempt was made to ensure that the exercises given for different testing techniques have similar difficulty level to guarantee that the difference in success between these testing techniques is due to the inherent complexity of the technique itself and not because of different exercises. Still, there is small probability that a certain degree of change in success may be due to the difference in the difficulty levels of the exercises. As such, it is obviously premature to consider the present results as final since there is a lack of similar type of studies, with which the authors can compare the results. Therefore, more work needs to be done in different settings to draw sound conclusions in this respect.

Although there are few studies (see e.g. Chan et al., 2005; Garousi and Zhi, 2013; Ng et al., 2004) exploring the preference of testers over distinct software testing techniques in the industry, there appears to be no paper comparing the preferences and performances of learners in terms of different testing techniques.

Tourism in Coimbra today is influenced by the fact that the Univer(s)city was distinguished as a World Heritage Site in 2013. The number of visits has grown very significantly in recent years, but the diversification of the tourist offer is still weak and unable to take advantage of existing resources. This paper aims to present genealogy tourism as an alternative urban cultural tourism in Coimbra.

Methodology involved mapping the Jewish culture elements in the city of Coimbra, and a route was outlined and proposed.

Genealogy tourism resources are identified in the historic centre of the city. These alternative spaces need urban rehabilitation and (re)functionalisation, which allowed the authors to rethink tourism in Coimbra. They are the motivation to visit for all urban cultural tourists, especially Israelis/Jews, and provide contact with places where the experiences of ancestors combine with the history and memory of places, with recent discoveries and the elements of Jewish culture in the city.

It is concluded that the quantity, diversity, authenticity and singularity of the heritage resources that bear witness to the Jewish presence in Coimbra are sufficient assets to create a route, to enrich the tourist experience in the city and to include the destination in the Sephardic routes.