The Status–Health Paradox: Organizational Context, Stress Exposure, and Well-being in the Legal Profession
Bibliographic record
Abstract
Prior research evaluates the health effects of higher status attainment by analyzing highly similar individuals whose circumstances differ after some experience a "status boost." Advancing that research, we assess health differences across organizational contexts among two national samples of lawyers who were admitted to the bar in the same year in their respective countries. We find that higher-status lawyers in large firms report more depression than lower-status lawyers, poorer health in the American survey, and no health advantage in Canada. Adjusting for income exacerbates these patterns-were it not for their higher incomes, large-firm lawyers would have a greater health disadvantage. Last, we identify two stressors in the legal profession, overwork and work-life conflict, that are more prevalent in the private sector and increase with firm size. Adjusting for these stressors explains well-being differences across organizational contexts. This study documents the role of countervailing mechanisms in health inequality research.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".