Décentralisation des services de ressources humaines : impacts sur la satisfaction des clients
Bibliographic record
Abstract
Le but de cette étude est d'évaluer dans quelle mesure la décentralisation d'un service de ressources humaines a un impact sur la satisfaction de ses clients. Une enquête par questionnaire a été réalisée dans deux organisations du secteur public fédéral (l'une possédant un service centralisé et l'autre ayant opté pour une structure décentralisée). À partir d'un échantillon de 496 répondants, l'analyse statistique révèle que la satisfaction des clients envers leur service de ressources humaines est influencée positivement par la décentralisation, mais que cette relation est modérée par l'endroit de travail des clients (impact positif sur la satisfaction des clients en région). L'analyse montre également que la consultation et la flexibilité constituent deux facteurs explicatifs qui entrent enjeu seulement dans une structure décentralisée pour expliquer la satisfaction des clients.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 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".