Examining relationships between director leadership practices and manager worklife and burnout
Bibliographic record
Abstract
Abstract Managers are subject to high stress and burnout in their demanding roles, so addressing their worklife and level of burnout is important to retain leadership in healthcare organizations. The purpose of this study was to examine the relationship between the observed leadership style of directors and the worklife and burnout of healthcare managers. A secondary analysis of data from 176 leaders in five different managerial cohorts within a provincial cancer agency was conducted using multiple regression and MANCOVA analysis. The study used data collected from the Worklife Improvement and Leadership Development study in 2006, the Kouzes and Posner Leadership Practices Inventory, the Maslach Burnout Inventory, and the Areas of Worklife Survey. Findings indicate the importance of transformational leadership styles to empower managers. Directors may improve the worklife of managers by using transformational leadership practices to address the amount of control and appropriateness of rewards to positively influence the job satisfaction of managers.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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".