The influence of authentic leadership behaviors on trust and work outcomes of health care staff
Bibliographic record
Abstract
Abstract A key element of a healthy work environment is trust: trust between staff and their leaders. Authentic leadership is proposed as the core of effective leadership needed to build trust because of its clear focus on the positive role modeling of honesty, integrity, and high ethical standards in the development of leader‐follower relationships. A model linking authentic leadership behaviors with trust in management, perceptions of supportive groups and work outcomes (including voice or speaking‐up behavior, self‐rated job performance, and burnout) using secondary analysis procedures was examined. The hypothesized model was tested using structural equation modeling in two samples of health care employees from a western Canadian cancer care agency: clinical care providers including nurses, pharmacists, physicians, and other professionals ( N = 147) and nonclinical employees including administrative, support, and research staff ( N = 188). Findings suggest that supportive leader behavior and trust in management are necessary for staff to be willing to voice concerns and offer suggestions to improve the workplace and patient care.
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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 | 0.022 |
| 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 | 0.001 |
| 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".