Assessing Road to Mental Readiness (R2MR) training among correctional workers in Canada
Bibliographic record
Abstract
BACKGROUND: Mental health frameworks, best practices, and the well-being of public safety personnel in Canada are topics of increasing interest to both researchers and organizations. To protect and improve worker mental health, different training programs have been implemented to serve this population. The Road to Mental Readiness (R2MR) training regimen is one such program specialized to build cultural awareness of mental health, reduce stigma, and mitigate the cumulative impacts of exposures to potentially psychologically traumatic events among public safety personnel. However, limited research has been conducted to evaluate the effectiveness of R2MR, especially among correctional workers. METHODS: The current study analyzed 307 open-ended survey responses to four (4) questions about R2MR garnered from 124 Canadian provincial and territorial correctional workers between 2018-2020 to reveal their understandings and perceptions of R2MR training, and to identify what learned skills they found challenging or easy to implement. RESULTS: The results suggest that R2MR training plays a significant role in decreasing stigma and increasing mental health awareness. Across jurisdictions, R2MR creates a supportive space for open dialogue around mental health meant to shift cultural and individual barriers that often hinder treatment-seeking. Some respondents also indicated that R2MR was a starting point for intervention. CONCLUSIONS: Further research is necessary to understand how R2MR and other programs could support the mental health and well-being of correctional workers.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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 teacher head, 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".