2022
DOI: 10.1145/3535510
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Subfield prestige and gender inequality among U.S. computing faculty

Abstract: A study of the intersections of gender, race, socioeconomic status, prestige, and subfield structure in computing.

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Cited by 9 publications
(7 citation statements)
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References 23 publications
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“…Both structural and individual workplace climate factors can push women out of their positions. For example, in computer science, women are more likely to be employed in subfields that are relatively less prestigious ( 78 ), and such systemic devaluation can influence a faculty member’s sense of belonging, leading them to consider leaving their position. In contrast to past work’s investigation of work-life balance factors, climate factors that influence a professor’s sense of belonging or decision to leave academia can be more difficult to measure, even when they relate to specific events such as gender discrimination (e.g., in hiring, publishing, grant applications, and tenure decisions).…”
Section: Discussionmentioning
confidence: 99%
“…Both structural and individual workplace climate factors can push women out of their positions. For example, in computer science, women are more likely to be employed in subfields that are relatively less prestigious ( 78 ), and such systemic devaluation can influence a faculty member’s sense of belonging, leading them to consider leaving their position. In contrast to past work’s investigation of work-life balance factors, climate factors that influence a professor’s sense of belonging or decision to leave academia can be more difficult to measure, even when they relate to specific events such as gender discrimination (e.g., in hiring, publishing, grant applications, and tenure decisions).…”
Section: Discussionmentioning
confidence: 99%
“…We acknowledge the complex history of the US Census classifications of race (Zuberi, 2000) and the assumption of within group homogeneity that is implied (e.g., Black and African American). Given the assumption of equivalence between the US Census population and the Web of Science population, our method potentially overestimates the proportion of Black and Latinx authors (LaBerge et al, 2022). Furthermore, we acknowledge that there are several additional and important dimensions of intersectionality, such as class, sexual orientation, disability, immigration/citizenship status, and language, in addition to other minoritized and marginalized identities, that are not analyzed in this study.…”
Section: Methodsmentioning
confidence: 99%
“…Faculty at prestigious institutions tend to accumulate other benefits, such as higher funding and access to larger doctoral student labor markets (Zhang et al, 2022). These benefits lead to higher productivity and recognition (Way et al, 2019), which reinforces hiring inequalities, particularly for women (Clauset et al, 2015; LaBerge et al, 2022). The scientific consequences are critical: scientific ideas spread more quickly and with greater impact when they come from prestigious institutions (Morgan et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…Regarding SDG 5 (gender inequality), many papers report gender inequality evidence. Laberge et al (2022) focus on gender inequality among U.S. computer faculty. The gender wage gap in the Tech industry was discussed by Mickey (2022).…”
Section: Literature Reviewmentioning
confidence: 99%