Longitudinal Reciprocal Relationships Between the Psychosocial Work Environment and Burnout
Bibliographic record
Abstract
OBJECTIVE: To examine longitudinal reciprocal relationships between the psychosocial work environment and burnout. METHODS: We used two-wave cross-lagged panel models to estimate associations between a wide range of psychosocial work factors (ie, job demands, job control, job insecurity, coworker support, supervisor support, and organizational justice) and burnout in a broadly representative sample of the general working population in Canada (n = 453). RESULTS: Bidirectional associations between the psychosocial work environment and burnout were observed. Results supported the causal predominance of psychosocial work factors over burnout. Higher job demands, lower job control, higher job insecurity, and lower organizational justice predicted burnout over time. Burnout only predicted lower supervisor support over time. CONCLUSIONS: Our findings suggest that stress at work is better understood as a cause rather than a consequence of burnout in the general working population.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".