Mentors as Social Capital: Gender, Mentors, and Career Rewards in Law Practice*
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
Previous studies have demonstrated that mentoring provides numerous career benefits to individuals and organizations. This article advances past work by examining the effects of individuals’ primary and multiple developmental relationships in a longitudinal study of the careers of lawyers. We develop a social capital perspective on mentorship emphasizing reciprocity of exchange, resource mobilization, and normative expectations embedded within mentoring relationships. We empirically assess mentoring benefits across a diverse range of career rewards. The results provide evidence that male lawyers gain more from their mentor‐derived social capital than female lawyers. Specifically, male lawyers with mentors of senior status benefit with elevated earnings, greater perceived fairness in their workplace, and greater work satisfaction. Women with multiple mentors, however, report enhanced work satisfaction. Implications for research on mentoring, social capital, and professional careers are discussed.
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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 | 0.001 | 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 | 0.001 | 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