Safety leadership: A longitudinal study of the effects of transformational leadership on safety outcomes
Bibliographic record
Abstract
Transformational leadership based interventions were assessed using a pre‐test, post‐test, and control group design. Leaders ( N =54) from 21 long‐term health care organizations were randomly assigned to general transformational leadership training, safety‐specific transformational leadership training, or a control group. Multivariate analysis of variance (MANOVA) showed that leadership training resulted in significant effects on manager post‐training ratings of safety attitudes, intent to promote safety, and self‐efficacy. The effects of leadership training on employee ( N =115) perceptions of leader safety‐specific transformational leadership, safety climate, safety participation, safety compliance, safety‐related events and, injuries were also assessed. Multivariate analysis of covariance (MANCOVA), with the pre‐test scores as the covariates, showed that leadership training resulted in significant effects on the safety‐specific transformational leadership and safety climate outcomes.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".