Organizational levers supporting police officers’ psychological health in the workplace after exposure to a potentially psychologically traumatic event
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
One in two police officers report having experienced a potentially psychologically traumatic event (PPTE) in the course of their career that has had an impact on their professional or personal life. In addition, daily exposure to PPTEs results in major adverse effects that affect all aspects of health: psychological, emotional, and physical. However, it is not necessarily PPTEs as such that cause psychological distress at work; rather, the determining factor seems to be the organization’s response to police officers’ exposure to PPTEs. The purpose of this study is therefore to identify the organizational factors that explain psychological health at work for police officers who have experienced a PPTE in the line of duty. The results show that the quality of relationships with the superior and colleagues, the availability of support such as advice, job demand, and job decision latitude are factors that partially explain the psychological distress that police officers experience at work after a PPTE [R2 = .38, p<.05; F(1,451) = 55.99, p<.001]. Conversely, quality relationships with co-workers, job demand, and job decision latitude partially account for the workplace psychological well-being experienced by officers after a PPTE [R2=.42, p<.05; F(1,457) = 109.55, p<.001]. This study highlights the importance for police organizations to promote good relationships between police officers and, above all, to encourage managers to invest in their relational skills and counseling-type social support. The study limitations and new avenues for research are also discussed.
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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 | 0.016 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.005 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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