Suchergebnisse

The article addresses the questions, What do children in urban areas do on Saturdays? What types of organizational resources do they have access to? Does this vary by social class? Using diary data on children's activities on Saturdays in the Phoenix-Mesa-Scottsdale metropolitan area, the authors describe the different types of venues (households, businesses, public space, associations, charities, congregations, and government/tribal agencies) that served different types of children. They find that the likelihood of using a charity or business rather than a government or tribal provider increased with family income. Also, the likelihood of using a congregation or a government facility rather than a business, charity, or household increased with being Hispanic. The authors discuss the implications for the urban division of labor on Saturdays and offer research questions that need further investigation.

Previous research has shown that gendered societal expectations are adopted by students as seemingly personal and individualistic self‐assessments and preferences, which then lead to gender‐normative choices about college majors and careers. This study examines one seemingly objective mechanism, which millions use each year for guidance on college majors and careers. We examine two Career Assessment Tools (CATs) with deep institutional presence: O*NET and Traitify. Analyzing an exemplar case of engineering majors, we find that CATs are less likely to recommend engineering occupations to women, even after controlling for GPA, satisfaction with the major, and planned persistence. Even in our sample of engineering majors, CATs apparently use small differences in students' gender‐normative self‐expressive preferences to drive sharply different occupational recommendations, thereby solidifying pathways toward gender‐segregated occupations and reinforcing men's dominance of engineering. If women similar to our study participants take CATs, they are likely to be steered away from engineering occupations or majors. More broadly, CATs illustrate how taken‐for‐granted, seemingly neutral technologies can reinforce gender segregation.