Relationships between job stress and worker perceived responsibilities and job characteristics.
Bibliographic record
Abstract
BACKGROUND: Few studies have examined the relationship between perceived responsibilities by workers and job characteristics and experiences of stress. OBJECTIVE: To examine the relationship between job stress and work responsibilities and job characteristics. METHODS: We analyzed data from 2737 adults who were labor force participants in the province of Alberta, Canada. A logistic regression model was employed to examine factors associated with high job stress. RESULTS: About 18% of the studied workers considered their job as being "highly stressful." Workers who were male, did not consider their job a career or who were highly satisfied with their jobs were significantly less likely to identify their jobs as "highly stressful." The probability of describing a job as "highly stressful" significantly increased as workers perceived their actions have an affect on those around them or when their jobs required additional or variable hours. CONCLUSION: A number of factors are associated with experiencing high work stress including being more engaged with work. This is an important finding for employers, offering insight into where interventions may be targeted.
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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 | 0.002 | 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 | 0.001 |
| 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".