Correctional Officers' Perceptions of Inmates with Mental Illness: The Role of Training and Burnout Syndrome
Bibliographic record
Abstract
This study was designed to examine correctional officers' (COs') perceptions of offenders with mental disorders (MDOs) in relation to non-disordered offenders, patients with mental illness, and the general public as a replication of research conducted by Kropp, Cox, Roesch, and Eaves (1989). The objective was to investigate i) the nature of COs' perceptions and how they have changed over time, ii) the type of training officers receive to manage MDOs, and iii) the impact of training and burnout on perceptions towards the four target groups. Results indicated that while perceptions toward MDOs have become increasingly positive over time, this group continues to be viewed unfavorably relative to other non-incarcerated populations. Compared to non-disordered offenders, officers held more positive attitudes toward MDOs. Training specifically related to mental illness was associated with more positive perceptions of MDOs. Emotional exhaustion predicted poorer perceptions of MDOs. Depersonalization predicted poorer perceptions of non-disordered offenders. Officers advocated the need for supplementary training to effectively manage MDOs.
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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 | 0.000 | 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) | 0.000 | 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".