A Canadian national study of provincial and territorial correctional workers' suicidal ideation, plans, and attempts
Bibliographic record
Abstract
Correctional workers (CWs) endure several operational stressors (e.g., exposures to potentially psychologically traumatic events) and organisational stressors (e.g., shift work, staff shortages), which are associated with positive screens for mental disorders and self-reports of suicidal behaviours and thus urgently warrant further inquiry. The Canadian Provincial and Territorial Correctional Worker Mental Health and Well-Being Study (CWMH) used an online survey to collect data from Canadian correctional service organisations across all 13 provinces and territories. This national Canadian study investigates suicidal behaviours among CWs across diverse occupational roles and provincial and territorial jurisdictions (n = 3740, 50.1% female). The results estimated prevalence proportions for self-reported past-year and lifetime suicidal thoughts, planning, and attempts across the 13 Canadian provincial and territorial correctional systems, with the exceptions of past-year suicidal planning in Alberta, Newfoundland and Labrador, New Brunswick, and Yukon where jurisdictional considerations and requests precluded the inclusion of select questions. Substantial proportions of participants reported past-year or lifetime suicidal ideation (i.e., 9.1%, 29.2%, respectively), planning (i.e., 4.1%, 14.7%, respectively), or attempts (i.e., 0.8%, 7.2%, respectively). Sociodemographic variables (i.e., sex, age, marital status, total years of service, occupational category) were associated with past-year and lifetime suicidal behaviours. Findings provide opportunities for future research and can inform tailored efforts by clinicians, service providers, and organisational leaders to support proactive interventions and treatments, including supporting the partners and families of CWs, fostering social support networks, and improving access to timely mental health treatment.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| 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".