Une étude empirique sur les rôles de base des services de ressources humaines
Bibliographic record
Abstract
Cette recherche concerne un sujet peu étudié dans la littérature en gestion des ressources humaines. Il s'agit des rôles de base d'un «service» de ressources humaines. Théoriquement, un certain nombre de rôles fondamentaux lui sont attribués par divers auteurs, aussi bien aux États-Unis, au Canada, en France qu'en Grande-Bretagne. Cependant, il n'existe pratiquement pas d'études empiriques pour appuyer ces rôles tels que conçus. La présente recherche a permis, dans un premier temps, de développer un modèle servant à circonscrire le domaine concernant les rôles des services de ressources humaines. Un questionnaire portant sur six rôles considérés fondamentaux d'après ce modèle a par la suite été élaboré et administré à un échantillon de 264 organisations américaines de divers secteurs industriels.
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 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 | 0.017 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".