Mental health disorder symptoms among serving Royal Canadian Mounted Police
Bibliographic record
Abstract
The Royal Canadian Mounted Police (RCMP) experience extraordinary exposures to diverse occupational stressors, potentially exacerbated by systemic stressors (e.g., public calls for pervasive organizational changes, the COVID-19 pandemic, natural disasters). The current study was designed to assess the mental health of currently serving RCMP (n = 1348) who completed an online survey from June 2022 to February 2023. The positive screening prevalence for any mental health disorder was higher (ps<.05) for current participants (64.7%) than previously reported for RCMP members (50.2%), diverse public safety personnel (44.5%), and the general population diagnostic prevalence (10.1%). Women were less likely (ps<.05) to screen positive for posttraumatic stress disorder and alcohol use disorder than men participants. RCMP participants evidenced substantially more mental health challenges than previous assessments, underscoring urgent and growing needs for proactive, ongoing, evidence-based supports for RCMP mental health, at the individual, organizational, and structural levels.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".