The harmful side of absent leaders: Multifactor leadership and employees’ job-stress-related presenteeism
Bibliographic record
Abstract
Abstract This study tests the role of the full range leadership model’s leadership styles in employees’ job-stress-related presenteeism (JSRP). Further, the study tests a model that introduces mediating variables in the relationship between absent leaders and JSRP. Employees from four different types of organizations: police (N = 148), public service (N = 479, not-for-profit (N = 96), and construction (N = 214) completed the Multifactor Leadership Questionnaire on their direct supervisor, as well as a self-report measures of JSRP, psychological distress, and work–life balance. Correlations and hierarchical linear regression models showed that laissez-faire leadership had the strongest influence on JSRP for all four organizations. The parallel mediation model results showed that both employee psychological distress and work–life balance partially mediated the relationship between laissez-faire leadership style and employees’ JSRP. These results underscore the importance of looking at absent leaders and how they affect employees negatively.
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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 | 0.003 | 0.007 |
| 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 | 0.001 |
| 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".