Mitigating emotional exhaustion and disability claims: the roles of health and well-being climate and supervisor support
Bibliographic record
Abstract
Introduction This study examines the effect of the Health and Well-being Climate (HWC) and the moderating role of supervisor support on employees' emotional exhaustion and insurance claims, grounded in the Conservation of Resources theory. Methods Quantitative data were collected from 661 employees across 17 organizations in Canada, and group insurance claims data for these employees were also analyzed. Structural equation modeling was conducted using IBM SPSS AMOS 28.0 to test all hypotheses. Findings The results indicate that a positive perception of the HWC among employees reduces both emotional exhaustion and the number of disability claims. Furthermore, supervisor support moderates the relationship between HWC and emotional exhaustion. High levels of emotional exhaustion and disability claims from employees can result in significant direct and indirect costs for employers. This study aims to provide organizations, managers, and practitioners with insights into effective strategies for mitigating these costs.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".