Burnout, stress and health of employees on non‐standard work schedules: a study of Canadian workers
Bibliographic record
Abstract
Abstract This study examined the relationship between non‐standard work schedules (shift work and weekend work) and job burnout, stress and psychosomatic health problems among full‐time employed Canadians in a large metropolitan city on the east coast. Data were collected by means of a structured mail back questionnaire (N = 376). Employees involved with weekend work reported significantly higher emotional exhaustion, job stress and psychosomatic health problems than employees not involved with weekend work. Similarly, employees on non‐standard work shifts (other than fixed day shift, 9 a.m.–5 p.m.) reported significantly higher overall burnout, emotional exhaustion, job stress and health problems than employees on a fixed day shift. Results from two‐way ANOVA indicated that employees involved with weekend work and non‐fixed day shifts reported significantly higher emotional exhaustion and health problems than other employees. Implications of the findings are discussed for future researchers in light of employee well‐being and non‐standard work schedules. Copyright © 2004 John Wiley & Sons, Ltd.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".