A national study of sex and mental health considerations among provincial and territorial correctional workers in Canada
Bibliographic record
Abstract
Amongst the correctional worker population, a wide range of demographic characteristics shape mental health outcomes, organizational stigma, and treatment-seeking, including gender and/or sex differences. Yet, considerations of the relationship between gender and especially sex and mental health in correctional systems internationally remain understudied and have not been investigated on a national scale. In the current national study, we quantitatively analyze Canadian provincial and territorial correctional workers' (n = 3,740) sex correlates with other sociodemographic variables, and examine the prevalence of potentially psychologically traumatic events (PPTEs), correctional-specific PPTEs, occupational stressors, suicide-related behaviour (ideation, plan, and attempt), and several mental health disorders. Survey findings indicate statistically significant sex differences in exposure to all types of PPTEs, with the exception of captivity and life-threatening illness or injury. Males reported higher odds of being exposed to all types of PPTEs than females, with the exception of sexual assault and other unwanted or uncomfortable sexual experiences, which females had higher odds of experiencing. Statistically significant sex differences were also evident in exposure to all types of correctional-specific PPTEs, except for instances where a person died while under their supervision. Other significant relationships found are discussed and reiterate the necessity of incorporating concerns for gender and/or sex equality and balance in correctional settings into mental health training regimen, as well as highlight several areas for future research.
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.
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 | 0.000 | 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 | 0.001 | 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".