A qualitative application of the Job Demand-Control-Support (JDCS) to contextualize the occupational stress correctional workers experience
Bibliographic record
Abstract
Correctional workers are at increased risk for a variety of mental disorders relative to the general population. The increased risk appears associated with frequent exposures to a variety of potentially psychologically traumatic events; however, the Job Demand-Control model and the Job Demand-Control-Support model posit operational (job content) and organizational (job context) stressors as increasing risks for mental health challenges. In the current study, we explore the potential impact of operational and organizational stress on correctional worker mental health, identifying specific stressors that might be modifiable. Data were drawn from the reports provided by 158 participants completing a large survey that elected to respond to either of two open text boxes inviting feedback related to their mental health. Qualitatively mapping our results onto the Job Demand-Control-Support model indicates participants perceive themselves as experiencing iso-strain as a function of being in a high demand, low control, and low social support work environment complicated by under-recognized caregiving. Participant reports suggest increased consultation by management and increased training may help to mitigate the perceived negative impact of the current workplace on their mental health.
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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 | 0.001 |
| 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".