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Informationen zum Autor Mary A. Armstrong is Charles A. Dana Professor of Women’s, Gender, and Sexuality Studies and English and Chair of the Women’s, Gender, and Sexuality Studies Program at Lafayette College. Susan L. Averett is Charles A. Dana Professor of Economics at Lafayette College. Klappentext "A quantitative look at labor market outcomes for women in STEM along multiple dimension of identity, including race, disability, immigrant status, etc"-- Zusammenfassung An exploration of workplace participation and earnings patterns for diverse women in US STEM professions that upends the myth that STEM work benefits women economically. Seen as part economic driver, part social remedy, STEM work is commonly understood to benefit both the US economy and people—particularly women—from underrepresented groups. But what do diverse women find when they work in US STEM occupations? What do STEM jobs really deliver—and for whom? In Disparate Measures, Mary Armstrong and Susan Averett challenge the conventional wisdom that a diverse US STEM workforce will bring about economic abundance for the women who participate in it. Combining intersectionality theory and critical data theory with a feminist economic analysis, the authors explore how different groups of diverse women truly fare in US STEM professions. Disparate Measures is centered on eight unique, in-depth case studies, each of which provides an intersectional economic analysis (a term coined by the authors) of diverse women working in STEM occupations. Four case studies prioritize women of color and examine the STEM participation and earnings of Black women, American Indian and Alaska Native women, Asian and Pacific Islander women, and Hispanic women/Latinas; four additional case studies illuminate intersections that are frequently neglected by the STEM inclusivity literature: foreign-born women, women with disabilities, Queer women, and mothers. What the authors find in their groundbreaking, detailed analysis is that the promises of STEM are only partly true: when compared to women not working in STEM, most women are indeed economically elevated by STEM occupations—yet when compared to white men in the same STEM occupations, women’s second-class status is usually reaffirmed. The authors conclude by offering seven “big-picture” recommendations for rethinking STEM equity, showing just how we can successfully confront the entrenched patterns of economic disadvantage faced by diverse women in STEM jobs. Inhaltsverzeichnis Contents Acknowledgments ix Introduction: True Lies—The Narratives of STEM Diversity 1 1 Intersectional Economic Analysis: Theory and Praxis 17 2 Gender and STEM Work: A Particular Economy 33 3 Black Women in STEM 51 4 American Indian and Alaska Native Women in STEM 75 5 Asian and Pacific Islander Women in STEM 99 6 Hispanic Women/Latinas in STEM 129 7 Foreign-Born Women in STEM 155 8 Women with Disabilities in STEM 183 9 Lesbians, Bisexual Women, Trans Women, and Gender-Nonbinary Individuals in STEM 213 10 Mothers in STEM 249 11 Realities and Possibilities: Rethinking the Economics of Women in STEM Work 275 Appendix A: STEM Occupational Categories: American Community Survey and Current Population Survey 301 Appendix B: STEM-Related Occupational Categories: American Community Survey and Current Population Survey 303 Appendix C: STEM and STEM-Related Occupational Categories: National Health Interview Survey 305 References 307 Index 347...
