Comportements d’habilitation : la modération de l’effet du leadership d’habilitation par la personnalité
Bibliographic record
Abstract
Le leadership d’habilitation (empowerment) correspond à déléguer des responsabilités et à fournir des ressources (e.g., coaching, reconnaissance) à ses employés afin de favoriser leur autonomie et leur implication au travail. Considérant l’idée que l’habilitation puisse ne pas avoir le même attrait pour tous, la présente étude cherche à vérifier si des facteurs de personnalité peuvent modérer le lien entre le leadership d’habilitation et l’habilitation comportementale des employés. Les résultats indiquent que c’est le cas pour quatre des six facteurs de la personnalité du modèle HEXACO. De façon générale, les employés dont la personnalité les prédispose moins à s’impliquer dans leur milieu de travail semblent bénéficier davantage du leadership d’habilitation.
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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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 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".