Alcohol Abuse, PTSD, and Officer-Committed Domestic Violence
Bibliographic record
Abstract
In a unique prevention project in a large US state, researchers explored how alcohol abuse and post-traumatic stress disorder (PTSD) rates influence rates of self-reported domestic violence committed by law enforcement officers. Survey methodology with a cross-sectional design was used, and multiple measures and instruments were analyzed. Because of the novel nature of the online curriculum and resources, there was no comparison group. A strong association—not a cause/effect relationship—was found: officers who had PTSD were four times more likely to report using physical violence, officers who had hazardous drinking were four times more likely to report violence, and dependent drinkers were eight times more likely to report being physically violent with an intimate partner. The findings suggest new opportunities for agency action and have resulted in new recommendations for training and policies to help support healthier law enforcement officers. No previous study has explored the link between PTSD, alcohol use, and domestic violence within this population.
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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 | 0.002 | 0.003 |
| 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 | 0.001 |
| 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 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".