La gestion à « haute performance » dans la fonction publique québécoise
Bibliographic record
Abstract
Cette recherche qualitative fait ressortir l’existence de modèles de gestion à « haute performance » dans la fonction publique québécoise. Les résultats suggèrent l’existence de deux catégories de pratiques de gestion des ressources humaines (RH) mobilisatrices qui agissent sur l’engagement des salariés à travers des mécanismes distincts : 1) les pratiques liées au partage d’information et à la participation des salariés à la gestion et 2) les autres pratiques de RH (les nouvelles formes d’organisation du travail, la gestion axée sur les résultats et la formation liée à l’emploi) qui influencent les perceptions de justice organisationnelle et de support organisationnel. Les résultats suggèrent également un lien entre les performances économiques et sociales et la « double cohérence » des pratiques RH, à savoir la cohérence interne et la cohérence symbolique.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".