A longitudinal assessment of the road to mental readiness training among municipal police
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
Police agencies increasingly implement training programs to protect mental health. The Road to Mental Readiness (R2MR) program was designed by the Canadian military to increase mental health resilience. A version of R2MR was adapted for municipal police by the Mental Health Commission of Canada (MHCC). The current research was designed to assess the R2MR program, as adapted and delivered by the MHCC, in a municipal police sample. Participants were 147 Canadian police agency employees (57% women) who received a single R2MR training session. Participants completed pre- and post-training self-report questionnaires, and follow-ups at 6 and 12 months. The questionnaires assessed mental health symptoms, work engagement, resiliency, mental health knowledge, and stigma. Multilevel modeling analyses assessed for within-participant changes over time. The results were consistent with other single session interventions; specifically, there were no significant changes in mental health symptoms, resilience, or work engagement (p > .05). There were small, but significant (p < .05), reductions in stigma at post-training that may facilitate help-seeking among police; relatedly, in open-ended response fields, participants commonly described the training as helpful for changing attitudes and improving communication. More engagement with the material may produce larger, sustained gains, but more published research is critically needed.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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