Lawyer Satisfaction in the Process of Structuring Legal Careers
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 proposes a new approach to the study of job satisfaction in the legal profession. Drawing on a Bourdieusian understanding of the relationship between social class and dispositions, we argue that job satisfaction depends in part on social origins and the credentials related to these origins, with social hierarchies helping to define the expectations and possibilities that produce professional careers. Through this lens, job satisfaction is understood as a mechanism through which social and professional hierarchies are produced and reproduced. Relying on the first national data set on lawyer careers (including both survey data and in-depth interviews), we find that lawyers' social background, as reflected in the ranking of their law school, decreases career satisfaction and increases the odds of a job search for the most successful new lawyers. When combined with the interview data, we find that social class is an important component of a stratification system that tends to lead individuals into hierarchically arranged positions.
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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 | 0.002 | 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 | 0.000 |
| 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