Authentic leadership in healthcare organizations: A study of 14 chief executive officers and 70 direct reports
Bibliographic record
Abstract
There is limited research on authentic leadership in senior leaders of healthcare organizations. The purpose of this study was to investigate authentic leadership from the perspectives of 14 healthcare Chief Executive Officers (CEOs) and 70 senior-level direct reports using the validated Authentic Leadership Questionnaire (ALQ) and one-on-one interviews. CEOs also completed a 20-hour leadership curriculum focusing on authentic leadership. Although CEOs rated themselves higher than their direct reports on the total ALQ, it only approached significance ( P = .060). Ratings on the four component parts of the ALQ were also higher, but only one was significant ( P = .025) with a trend toward significance on another ( P = .61). The CEOs’ scores were slightly higher after their self-directed study but only one component was significant ( P = .040). Interviews with the CEOs and direct reports underscore how healthcare leadership and authentic leadership specifically is viewed depending on organizational roles.
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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 | 0.005 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| 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".