Mental Health in the RCMP: Key Findings for Police Leaders
Bibliographic record
Abstract
This brief is based on the following published work: Carleton, R. N., Jamshidi, L., Nisbet, J., Shields, R. E., & Andrews, K. L. (2024). Mental health disorder symptoms among serving Royal Canadian Mounted Police. Police Practice and Research, 25(5), 543–563. https://doi.org/10.1080/15614263.2024.2318209 Public safety personnel (PSP) are at an elevated risk of being diagnosed with one or more mental illnesses. The source article highlights the high susceptibility of RCMP officers to various mental illnesses. The prevalence of mental illness among RCMP officers is higher than documented in previous research (64.7% vs. 50.2%) and various personal factors appear to be associated with heightened risk for mental illness. This research highlights and emphasizes the need for additional evidence-based mental health supports for RCMP officers to enhance their well-being and safety.
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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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".