The Effects of Authentic Leadership and Organizational Commitment on Job Turnover Intentions of Experienced Nurses
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
High levels of turnover continue to pose a challenge to the nursing workforce amidst growing patient acuity and budget constraints. The presence of strong nursing leadership may address the need for healthy work environments that contribute to retention outcomes. The purpose of this study was to examine the effect of authentic leadership of managers, on experienced nurses’ affective, normative, and continuance organizational commitment, and ultimately job turnover intentions. This study used secondary analysis of data collected in a non-experimental survey of 478 registered nurses in Canada. Hayes’ PROCESS version 3 SPSS macro for mediation analysis was used to test the hypothesized path model. Results showedauthentic leadership was a significant predictor of job turnover intentions mediated by affective commitment, and all predictors accounted for 21% of the variance in job turnover intentions. Findings suggested that authentic leaders in nursing may contribute to improved organizational commitment, and decreased job turnover intentions.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it