AUTHENTIC LEADERSHIP OF PRECEPTORS: PREDICTOR OF WORK ENGAGEMENT AND JOB SATISFACTION OF NEW GRADUATE NURSES
Bibliographic record
Abstract
The purpose o f this study was to examine the relationships between new graduate\nnurses’perceptions ofpreceptor authentic leadership (Avolio, Gardner, Walumbwa, Luthans, & May, 2004) and their work engagement andjob satisfaction. A predictive non-experimental survey design was used to test these relationships in a population of Ontario new graduate nurses working in acute care hospitals. The final sample consisted of 170 new graduate nurses (response rate= 39%). Consistent with Avolio et al.’s (2004) assertions: authentic leadership was positively related to work engagement and job satisfaction; authentic leadership and work engagement explained 20% o f the variance in job satisfaction; and work engagement was found to partially mediate the relationship between authentic leadership and job satisfaction. These results offer nurse educators and administrators a theoretical basis for creating preceptors preparatory programs that facilitate the development o f preceptors’ authentic leadership; thus improving the work engagement and job satisfaction o f new graduate nurses.
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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 | 0.001 | 0.006 |
| 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 | 0.001 | 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".