The redefinition of gender roles in immigrant women: the importance of local spaces in global processes

In today’s complex, intercultural, transnational, glocalized world, linking conceptual analyses and theoretical representations to the empirical study of female migration also requires, among other aspects, acknowledging the importance of the arrival context in the redefinition of gender roles, since it operates as an area of opportunity or containment mainly due to a number of specific features, which interacts with women’s economic, cultural and social capital, to produce different results in the situation of migrant women. The context of arrival and the subjects, conceived of as actors inserted in social structures where they have scope for action, is the focus of our analysis. This article addresses this issue through the study of two cases of migrant women in different contexts. One of the women is a Mexican migrant who settled in Sonoma County California in the US, and the other a Bulgarian who arrived in Ribera del Duero in the Autonomous Community of Castile and León in Spain. The research used mixed methods, which included the review of various censuses and documentary sources, ethnographic fieldwork and the qualitative technique of the life story to undertake the case studies.     

Society as an ethical system†

The idea of society on which the social sciences are premised is one of a structured pattern of interdependence and interaction that drives participation in a shared communication space and, thereby, a degree of common consciousness. These are also the preconditions for ethics to operate as an internal mode of self-understanding rather than an external imposition. Societies, in other words, are ethical systems. In order to understand in what sense societies, in the context of contemporary transformations, can still be thought of and analysed as ethical systems, the article focuses on inequality as both a practically important and normatively complex challenge – one that the international community, through the 2030 Agenda for Inclusive and Sustainable Development, has recognized to be one of its action priorities. These considerations further bear on the relation between the social sciences and the humanities, which is one important dimension of the future of the social sciences.     

Intraindividual and Interindividual Differences in Spontaneous Eye Blinking: Relationships to Working Memory Performance and Frontal EEG Asymmetry

The rate and timing of spontaneous eye blinking (SB) may be used to explore mechanisms of cognitive activity in infancy. In particular, SB rate is believed to reflect some dimensions of dopamine function; therefore, we hypothesized that SB rate would relate to working memory performance and to frontal electroencephalogram (EEG) asymmetry. Forty, 10‐month‐old infants completed an A‐not‐B task while SB and EEG were measured throughout. We found that SB rate varied across phases of the task, variability in SB rate was positively related to working memory performance, and frontal EEG asymmetry was related to individual differences in the rate of SB. Results provide indirect, but convergent support for the hypothesis that SB rate reflects dopamine function early in human development. As such, these results have implications for understanding the tonic and phasic effects of dopamine on cognitive activity early in human development.     

Barriers to a healthy lifestyle post gestational-diabetes: An Australian qualitative study

Background

Overseas-born-women from certain ethnicities are at high risk of type-2 diabetes and related metabolic disorders. This study explored the barriers and facilitators to long-term healthy lifestyle recommendations among Australian-born and overseas-born-women who attended health promotion sessions at a tertiary Australian Hospital for gestational diabetes 3–4 years previously.

Should It Be Easy? Divorce Process Attitudes Among Those Who Have Split Up in Midlife

This grounded theory analysis examines the gray divorced population’s attitudes about the divorce process, that is, whether those who have experienced a divorce at age 50 or older believe divorce should be easier or harder to obtain in U.S. society. Among the 40 men and 40 women interviewed in this analysis, there were divorce delayers, who wanted to make divorce laws stricter; divorce facilitators, who championed more flexible divorce laws; divorce ambivalents, who held mixed views; and marriage gatekeepers, who advocated on behalf of status quo divorce laws but tougher relationship-strengthening requirements before marriage. The diversity of these participants’ views reflects those voices in the general population who continue to see divorce as a complex decision for most couples.     

Social Disorganization in New Latino Destinations?*

Abstract Rural industrial restructuring, including growth in meat processing and other nondurable manufacturing, has generated employment opportunities that have attracted Latino in‐migrants to new nonmetropolitan destinations. Long‐time residents, however, are not always receptive. While some observers point to economic and social benefits of a Latino influx, others believe that the newcomers drain local resources, raise poverty and crime rates, and diminish the quality of life in their communities. We evaluate the influence of rapid population growth on emerging Latino destinations—new boomtowns. We use data from the U.S. census and other sources to measure changes in local economic circumstances and quality of life in nonmetropolitan boom counties experiencing high rates of Latino growth between 1990 and 2000. Our findings indicate that large influxes of Latinos had surprisingly few negative economic consequences for local populations. Furthermore, the quality of life in new destinations did not deteriorate in comparison to other nonmetropolitan counties, especially with regard to crime. Mounting pressure to educate students with limited English proficiency is nevertheless apparent. Our conclusion highlights relevant national policy debates and underscores the need for commitment on the part of firms responsible for Latino growth.     

The social economics of ethical consumption: Theoretical considerations and empirical evidence

Recent years have seen rising discussion of ethical consumption as a means of stemming global warming, challenging unsavory business practices, and promoting other pro-social goals. This paper first lays out a conceptual framework for understanding the spread of ethical consumption, in which heterogeneous preferences and sensitivity to social norms feature centrally. It then presents empirical evidence from a well-known nationally representative survey on factors associated with tendencies to ‘buy ethically’. It is found that, ceteris paribus, people are more likely to buy ethically when others around them do too, consistent with a role of social norms in promoting ethical-consumption behaviors.     

How Cox models react to a study-specific confounder in a patient-level pooled dataset: random effects better cope with an imbalanced covariate across trials unless baseline hazards differ

Combining patient-level data from clinical trials can connect rare phenomena with clinical endpoints, but statistical techniques applied to a single trial may become problematical when trials are pooled. Estimating the hazard of a binary variable unevenly distributed across trials showcases a common pooled database issue. We studied how an unevenly distributed binary variable can compromise the integrity of fixed and random effects Cox proportional hazards (cph) models. We compared fixed effect and random effects cph models on a set of simulated datasets inspired by a 17-trial pooled database of patients presenting with ST segment elevation myocardial infarction (STEMI) and non-STEMI undergoing percutaneous coronary intervention. An unevenly distributed covariate can bias hazard ratio estimates, inflate standard errors, raise type I error, and reduce power. While uneveness causes problems for all cph models, random effects suffer least. Compared to fixed effect models, random effects suffer lower bias and trade inflated type I errors for improved power. Contrasting hazard rates between trials prevent accurate estimates from both fixed and random effects models.