The Differential Valuation of Women's Work: A New Look at the Gender Gap in Lawyers' Incomes
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article seeks to identify the mechanisms underlying the gender wage gap among new lawyers. Relying on nationally representative data to examine the salaries of lawyers working fulltime in private practice, we find a gender gap of about 5 percent. Identifying four mechanisms - work profiles, opportunity paths and structures, credentials, and legal markets - we first estimate how much of the gap stems from the differential valuation of women’s endowments; second, we estimate the effects of different endowments for men and women; and third we assess both these possibilities. The analyses indicate that none of these mechanisms can fully accunt for the gender gap. Experimental studies that indicate women’s work is less valued and rewarded than men’s suggest new directions for research on gendered compensation.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it