Leadership transformationnel et citoyenneté organisationnelle au sein d’une équipe
Bibliographic record
Abstract
Plusieurs facteurs peuvent influencer l’efficacité et la productivité des équipes de travail, dont les comportements de citoyenneté. L’étude porte sur la relation entre le leadership du superviseur et les comportements de citoyenneté des subordonnés dans l’équipe. Les participants sont 288 adultes qui travaillent dans diverses organisations. Les résultats des analyses de régression soutiennent l’idée que le leadership transformationnel est positivement lié aux comportements de citoyenneté dans l’équipe. Le leadership transactionnel et le leadership laisser-faire ne sont pas liés aux comportements de citoyenneté dans l’équipe. Ces résultats tendent à confirmer l’importance du leadership transformationnel du superviseur dans la compréhension du succès des équipes au travail et, par voie de conséquence, des organisations.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.005 |
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; both teacher heads agree on what is shown here.
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".