Examining the Benefits of Intergenerational Volunteering in Long-Term Care: A Review of the Literature

This review examines the benefits of intergenerational interactions between youth volunteers and residents of long-term care homes. Five articles met the criteria for review. Benefits for youth included developing new communication and career-related skills, improved attitudes toward older adults, and the development of meaningful relationships and friendships. Benefits for residents were engagement in activities with the students, enhanced well-being and, for residents with aphasia, improved communication abilities. Further research is needed to evaluate the impact of intergenerational volunteer programs, especially for secondary students as volunteers.     

Intrapersonal and Interpersonal Sexual Behaviors of Chinese University Students: Gender Differences in Prevalence and Correlates

The main aim of the present study was to investigate gender differences among university students in contemporary China regarding (1) the prevalence of various types of intrapersonal and interpersonal sexual behaviors and (2) their sociodemographic and psychosocial predictors. A total of 1,397 university students (M_age = 20.3 years) completed related questionnaires. Intrapersonal behaviors (i.e., sexual fantasizing, solitary masturbation, and viewing pornography) were generally reported more frequently than interpersonal behaviors (i.e., petting, oral sex, and intercourse). Gender differences were most evident for intrapersonal sexual behaviors, all of which were reported more frequently by men. Men reported significantly more heterosexual intercourse than women but not petting or oral sex. Several correlates (i.e., age, educational aspiration, family income, urbanity, relationship experience, and Internet use) were significant predictors of various intrapersonal and interpersonal sexual behaviors. Gender significantly moderated these correlations in three cases: Family income was a stronger negative predictor of intercourse for women, romantic relationship history was a stronger positive predictor of intercourse for men, and Internet use was a stronger positive predictor of sexual fantasizing for men. We discuss the implications of these findings for sexuality education and sexual health policies and practices in contemporary China.     

EXPLORING THE RELATIONSHIP BETWEEN TYPES OF FAMILY WORK AND MARITAL WELL-BEING

We use an expanded definition of family work and test its association with marital well-being. Using a gender perspective, we examine the role of the respondent's and partner's performance of family work for both husbands and wives. Data are taken from a sample of couples with dependent children under age 18 (N = 96), and separate regression equations are estimated by gender. Though housework is cited as one of the most contentious issues reported by couples, it is not significant in our analysis of marital well-being. In our analysis, other forms of family work are considered, and childcare, emotion work, and formal volunteering are significantly associated with marital well-being. The role of partner's provision of emotion work is particularly salient. Discussion of the gendered nature of our findings follows.     

Public Policy: Choice, Influence, Evaluation

This symposium celebrates the entire policy-making process in the context of labor relations. The four contributions to the symposium are reviewed and their contributions are assessed.     

Providing new opportunities or reinforcing old stereotypes? Perceptions and experiences of single-sex public education

There has been a widespread increase in single-sex public schooling in the U.S. following 2006 changes to the Department of Education regulations motivated by the No Child Left Behind Act of 2001. Single-sex public schooling is viewed as a means to improve the educational experiences and performance of low-income youth of color. Yet little is known about its effects and efficacy, particularly for these populations. This article is based on a community-based participatory research project, on which high school students and university researchers collaborated, conducted in a low-income, African American high school implementing single-sex courses. Our findings challenge proponents' key assumptions that single-sex education will improve the academic achievement of low-income youth of color by 1) eliminating distraction from the other sex; 2) addressing the different learning styles of girls and boys; and 3) remedying inequities by offering these youth opportunities traditionally afforded to more privileged youth. While some distractions were decreased, others were increased or ignored; racialized stereotypes of hypersexuality and essentialized notions of gender were reinforced; and students felt punished rather than privileged by being separated by sex. We conclude that single-sex education as a public school option is a neoliberal approach to addressing low achievement that deflects attention from the structural inequities that created the problem and implicitly blames those experiencing oppression.     

Large-scale Bayesian spatial modelling of air pollution for policy support

The potential effects of air pollution are a major concern both in terms of the environment and in relation to human health. In order to support environmental policy, there is a need for accurate measurements of the concentrations of pollutants at high geographical resolution over large regions. However, within such regions, there are likely to be areas where the monitoring information will be sparse and so methods are required to accurately predict concentrations. Set within a Bayesian framework, models are developed which exploit the relationships between pollution and geographical covariate information, such as land use, climate and transport variables together with spatial structure. Candidate models are compared based on their ability to predict a set of validation sites. The chosen model is used to perform large-scale prediction of nitrogen dioxide at a 1×1 km resolution for the entire EU. The models allow probabilistic statements to be made with regard to the levels of air pollution that might be experienced in each area. When combined with population data, such information can be invaluable in informing policy by indicating areas for which improvements may be given priority.