Inconsistent style of leadership as a predictor of safety behaviour
Bibliographic record
Abstract
Research on the effects of passive rather than transformational styles of leadership is limited, especially regarding safety-related outcomes in the workplace. Both styles of leadership can be exhibited at different times in the same individual; here we refer to this as inconsistent leadership. In this study, we examine the effect of inconsistent safety-specific leadership style on the safety participation and safety compliance of employees. Operationalized as the interaction of safety-specific transformational leadership and passive leadership, inconsistent safety leadership emerged as a significant predictor of both outcomes in two samples in Canada: a sample of 241 young workers and again in a sample of 491 older workers, who were long-term health care employees. We found that a transformational safety-specific leadership style was associated with greater safety compliance and safety participation in employees. Furthermore, in all cases, the predictive effect of transformational style of leadership on safety participation and safety compliance was attenuated when leaders also displayed passive leadership with respect to safety outcomes. Theoretical and practical implications for safety management are discussed.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".