Mental health of Royal Canadian Mounted Police after the first year of service
Bibliographic record
Abstract
Royal Canadian Mounted Police (RCMP) frequently report symptoms consistent with positive screens for one or more mental health disorders (65%), but RCMP cadets evidence a much lower prevalence (7.3%) prior to deployment. The differences in mental health between cadets and experienced RCMP implicates mental health challenges to be related to service experiences; however, less is known about how mental health changes during the first year of service. The current study examines changes in mental health during the first year of service. At 1-year follow-up, participants (n = 181; 72.8% male) reported higher symptom severity (ds = .09 to .53, all ps < .05) and positive screens (Zs = .05 to 3.32, all ps < .001) for posttraumatic stress disorder, major depressive disorder, and social anxiety disorder than at pre-deployment. The current results substantiate RCMP mental health challenges begin to develop as early as the first year of service, underscoring the need for continuous evidence-based supports and assessments.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".