Lawyers at the Peak of Their Careers: A 30‐Year Longitudinal Study of Job and Life Satisfaction
Bibliographic record
Abstract
A decade ago, we conducted a 20‐year longitudinal study of career and life satisfaction among the class matriculating at the University of Virginia School of Law in 1987. Here, we extend our repeated measures follow‐up from 20 to 30 years—from the time when respondents were a mean of 43 to the time they were a mean of 53 years old. The 2017 survey employed substantially the same instrument used in 2007, with the addition of a new section assessing potential period effects occurring over the past decade that might have influenced respondents' working conditions, including a stronger stress on economic sustainability. The 2017 response rate was 81 percent of those who had responded to the 2007 survey (constituting 58 percent of the class matriculating in 1987). We found respondents to have taken diverse career paths, with no single work setting accounting for more than one‐quarter of the respondents and with fully one‐third of the respondents changing jobs in the past decade. Marked gender differences in the professional lives of respondents persisted (e.g., women continued to be much more likely than men to forego full‐time employment “in order to care for children” (30 percent vs. 4 percent)). Working conditions at large private law firms stayed problematic, with the portion of respondents negatively affected by a stronger stress on economic sustainability being twice as high among those working in large firms (77 percent) than among those working in other settings (38 percent). Finally, both career satisfaction and life satisfaction again were found to be high, with 77 percent of respondents satisfied with the decision to become a lawyer, and 91 percent satisfied with their lives more broadly.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".