When the Lawyer Becomes Traumatized: A Scoping Review
Bibliographic record
Abstract
Lawyers can be exposed to cases involving traumatic elements of crimes. Such exposure may result in symptoms of posttraumatic stress disorder (PTSD) and have adverse effects on the lawyers’ capacities to work. A scoping review was conducted to summarize original investigations of work-related PTSD among lawyers in terms of (a) trauma exposure conceptualization and operationalization, (b) symptom severity, (c) prevalence, and (d) risk factors. The scoping review also aimed to highlight potential directions for future studies and clinical implications. Literature searches were conducted in PsycINFO, Embase, Pubmed, MEDLINE, PILOTS, and Google Scholar. Of 341 initial publications, 9 were included. A majority conceptualized the impact of work-related trauma exposure as secondary traumatic stress and operationalized work-related trauma exposure as the number of cases or clients involving traumatic material. Levels of PTSD symptoms reported by lawyers were positively related to levels of work-related trauma exposure.
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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 | 0.006 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.017 | 0.020 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".