El conflicto trabajo-familia como factor de riesgo y el apoyo social del supervisor como factor protector del agotamiento profesional
Bibliographic record
Abstract
Building on Hobfoll’s conservation of resources model, we examine the interaction of different dimensions of supervisor’s support and work-family conflict on employee’s burnout. Data was gathered via self-administered questionnaires from a sample of human resource management professionals in Canada, and the hypotheses were verified using structural equation models. Results suggest first that supervisor’s emotional support moderates the negative impact of work-family conflict on subordinate’s burnout. Second, that supervisor’s instrumental support mediates the effect of two forms of work-family conflicts (work interfering on family and vice versa) on subordinate’s individual performance. And third, that supervisor’s emotional support reduces employee’s depersonalization.
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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 | 0.008 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.006 |
| Science and technology studies | 0.056 | 0.035 |
| Scholarly communication | 0.012 | 0.015 |
| Open science | 0.024 | 0.005 |
| Research integrity | 0.001 | 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; both teacher heads agree on what is shown here.
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".