Exposures to potentially psychologically traumatic events among Royal Canadian Mounted Police.
Bibliographic record
Abstract
OBJECTIVE: Royal Canadian Mounted Police (RCMP) are among the public safety sectors reporting the highest exposures to diverse potentially psychologically traumatic events (PPTEs), which contribute to the risk of developing mental health disorders. Current increases in prevalence of mental health disorders among RCMP are substantial and warrant updated prevalence estimates of PPTE exposures. The objective of the present study was to provide updated estimates of lifetime PPTE exposures among RCMP and assess for associations with mental disorders and sociodemographic variables. METHOD: (5th ed.) Extended, and mental health disorder symptoms. RESULTS: Participants reported exposure to more PPTE types (∼13) than previous samples of RCMP (∼11) and public safety personnel (PSP) (∼11). Prevalence for all the PPTE types was statistically significantly higher for the current sample than previously reported samples of PSP and RCMP, and higher than the Canadian general population. Participants reported highest exposures through any modality (i.e., directly or indirectly) to sudden violent death (98.3%), physical assault (97.9%), serious transport accident (97.0%), sudden accidental death (96.7%), and assault with a weapon (93.7%). Most PPTEs were statistically significantly associated with screening positive for posttraumatic stress disorder, major depressive disorder, generalized anxiety disorder, social anxiety disorder, and panic disorder, but not alcohol use disorder. CONCLUSION: Increased PPTE exposures reported by current participants compared to a previous sample of RCMP, coupled with the observed associations between PPTE exposures and mental health disorders, highlights the need for further resources and support for RCMP to mitigate and manage the impact of PPTEs. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
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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 | 0.010 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.006 |
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; both teacher heads agree on what is shown here.
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".