Occupational Stressors and Mental Health Disorders: A National Study of Correctional Service Providers in Canada's Provincial and Territorial Systems
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
Correctional workers (CWs) experience organizational (e.g., staff shortages, administrative burdens) and operational stressors (e.g., exposure to potentially psychologically traumatic events [PPTEs]) when completing their occupational responsibilities. In the current Canadian study, we assessed the average stress levels for diverse organizational and operational stressors among CWs across occupational groups (e.g., institutional operational, correctional officers, community operations, management, and administrators), provincial and territorial jurisdictions, and pre versus during COVID-19. We examined the relationships between 40 work-related stressors, including PPTE exposures and prevalence of positive screens for several mental health disorders (e.g., posttraumatic stress disorder, major depressive disorder, general anxiety disorder, panic disorder, alcohol use disorder). Results further evidence organizational and operational stressors beyond PPTE as being correlates of mental health challenges among CWs. Reducing organizational stress by increasing staffing and leadership training, improving communication and access to specialized treatment resources, mitigating PPTE exposures, and supporting collegial relationships may all potentiate improvements for the mental health of CWs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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) | 0.000 | 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 it