Bibliographic record
Abstract
OBJECTIVE: This study examines the contribution of the Job Demand-Control (JDC) and the Job Demand-Control-Support (JDCS) models to three mental health outcomes. METHODS: Data were collected from 410 Canadian municipal police employees. Mental health was evaluated with the General Health Questionnaire 12 items (GHQ-12), the Beck Depression Inventory (BDI-21) 21 items, and the Maslach Burnout Inventory 16-items general survey (MBI-16). Karasek's Job Content Questionnaire was used to measure JDC and JDCS. RESULTS: The results revealed a differential impact of JDC and JDCS models according to the type of mental health outcome. The MBI-16 was the best-predicted outcome. Interactions at the core of the JDC and JDCS models were weakly supported. CONCLUSIONS: The JDC and JDCS models contribute differently to workers mental health, depending on the instrument used to measure mental health. Implications for workplace health interventions are discussed.
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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) | 0.001 | 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".