Mindfulness and Legal Practice: A Preliminary Study of the Effects of Mindfulness Meditation and Stress Reduction in Lawyers
Bibliographic record
Abstract
Research has shown that lawyers often experience symptoms of depression, anxiety, and stress in their lives. Mindfulness meditation may be an effective way to reduce the many negative effects associated with work stress. We asked a group of 46 lawyers to participate in an eight week mindfulness meditation program that was designed for lawyers. The mindfulness program was based on The Anxious Lawyer by Cho and Gifford (2016) and guided audio meditations were made available online. Participants were assessed before beginning the program and again when the program was completed. The results indicated that the mindfulness meditation program significantly reduced self-described depression, anxiety, stress, and negative mood. The meditation program also increased positive mood and psychological resilience. As well, participants in the program viewed themselves as being more effective at their work. Despite the strong effects observed in this study, we argue that much more research is needed to understand these benefits.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".