Le Leader Positif : se transformer pour favoriser la passion et le bien-être au travail
Bibliographic record
Abstract
Cet article propose de diriger notre regard vers la psychologie positive appliquée aux organisations afin de dépasser le modèle de leader taylorien qui repose sur le commandement, le contrôle et l’exécution. Notre démarche repose sur les questions suivantes : Le leader positif favorise-t-il le développement de la passion et du bien-être au travail ? Si oui, comment expliquer ces liens ? Nous essayerons de préciser le processus d’une telle dynamique dans le cadre de l’OCP Répartition qui est un acteur majeur dans la chaîne de distribution de produits de santé. Le dispositif de recherche mêle une méthodologie qualitative et quantitative. Le but est de favoriser la transformation des leaders eux-mêmes et des collaborateurs sur le long terme en contribuant à leur bien-être et à leur efficacité .
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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 | 0.008 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.011 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".