Navigating the Gendered Landscape: The Impact of Institutional Participation and Professional Culture in Shaping Inequality
Bibliographic record
Abstract
The Gender Revolution significantly improved women’s status, but recent progress towards equity is “uneven and stalled” (England 2010:149). This dissertation uncovers the complex role of institutional processes in shaping the evolution and persistence of gender inequality. The first study offers a macro-level analysis trends in men and women’s perceptions of mastery across the life course of different cohorts. Perceptions of mastery —control over one’s life— reflect differences in status and gendered notions of agency (Connell 1987; 2005). Institutional participation —educational achievement and employment levels— is key in shaping movement towards and away from gender equality. While high levels of education and employment lead to converging perceptions of mastery, the effect of institutional participation is strongly gendered: women benefitted more from education, while men are penalized more when working less than full-time. Workforce participation emerged as a key driver of men’s higher perceptions of agency in younger cohorts. Drawing on the legal profession as a case study, subsequent studies highlight the role of workplace culture in shaping gender inequality. Using longitudinal data on private sector lawyers, the second paper finds norms of hegemonic masculinity —measured as technical competence, authoritative leadership, work devotion, breadwinner status, and individual preferences— (re)create wage inequality across the earnings distribution. The analysis further uncovers a hierarchy of valuation based on gender and parental status, as fathers earn the highest wage premiums, followed by mothers; women without children earn the least after controls. The final paper investigates how perceptions of professional fit —signaled by professional role confidence (PRC)— shapes perceptions of job security among early-career lawyers. The legal profession is marked by a ‘masculine mystique’ that challenge female lawyers’ PRC —measured as expertise confidence and career fit. Findings indicate that men derive higher perceptions of job security for the same levels of PRC, explaining women’s lower perceptions of job security. Professional fit therefore reinforces gender inequality, possibly through women’s awareness (but not internalization) of their lower status in law. This dissertation provides a nuanced understanding of gender inequality, with institutional participation and culture emerging as key mechanisms shaping the dynamic evolution of gender inequality.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.012 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".