We analyze programs for undergraduate women in science and engineering as strategic research sites in the study of disparities between women and men in scientific fields within higher education. Based on responses to a survey of the directors of the universe of these programs in the United States, the findings reveal key patterns in the programs’ definitions of the issues of women in science and engineering, their solutions to address the issues, their goals and perceived success with goals, and their (...) organizational characteristics and relationship to the larger institutional environments. The findings—which are conceptually grounded in the distinction between structural/institutional and individual issues facing women in science—have implications for understanding gender, science, and higher education, and for initiatives undertaken to improve the condition of women in scientific fields. The findings may also inform strategic efforts to reduce gender disparity in other organizational contexts. (shrink)

Since 1984, when Cole and Zuckerman referred to gender differences in productivity among academic scientists as a puzzle, sociologists have sought to explain these differences by incorporating primarily institutional-level factors. In addition to these factors, the author contends that an undertheorized and heretofore unmeasured concept—the extent of research specialization—can also help explain the process by which gender affects research productivity. Although some researchers have examined areas of specialization, the extent of research specialization has been completely neglected in studies of academic (...) careers. Using a probability sample of academics in two disciplines, primary data collection, and simultaneous equation modeling, the author finds that the extent of research specialization is a critical intervening variable: Women specialize less than men and thereby lose out on an important means of increasing their productivity. (shrink)

This article addresses a telling issue in academic science: the clarity of criteria for tenure and promotion reported by women and men faculty in scientific fields. Data from faculty surveyed in nine US research universities point to ways that formal and informal organizational indicators predict the clarity of evaluation reported by women and men. Unexpected patterns occur by gender. Among men, both formal and informal organizational indicators, as well as field, predict their reported clarity of evaluation. Among women, however, only (...) informal organizational indicators, namely, frequency of speaking with faculty about research and departmental climate, are significant predictors. Further, overall, informal indicators are stronger predictors of clarity than are formal indicators, and some field differences occur. These findings have implications for national and regional science policies and for the practices and policies of universities. (shrink)

This study investigates whether the increasingly common trend of working long hours perpetuates gender segregation in occupations. While overwork is an expected norm in many male-dominated occupations, women, especially mothers, are structurally less able to meet this expectation because their time is subject to family demands more than is men’s time. This study investigates whether the conflicting time demands of work and family increase attrition rates of mothers in male-dominated occupations, thereby reinforcing occupational segregation. Using longitudinal data drawn from the (...) Survey of Income and Program Participation, I show that mothers are more likely to leave male-dominated occupations when they work 50 hours or more per week, but the same effect is not found for men or childless women. Results also show that overworking mothers are more likely to exit the labor force entirely, and this pattern is specific to male-dominated occupations. These findings demonstrate that the norm of overwork in male-dominated workplaces and the gender beliefs operating in the family combine to reinforce gender segregation of the labor market. (shrink)