Intervenir sur l’absence au travail pour améliorer la santé des individus et de l’organisation : une approche contingente basée sur des résultats de recherche
Bibliographic record
Abstract
Depuis plus de trois quarts de siècle, des milliers de recherches en psychologie du travail et des organisations ont jeté un éclairage sur cinq aspects de l’absentéisme : sa nature, sa mesure, ses effets, ses causes et les moyens de le réguler. Le corpus de connaissances dégagé des textes analysés a inspiré la formulation de cinq prémisses, soit une par aspect. Celles-ci constituent les fondements d’un modèle original d’analyse de l’absentéisme qui encadre la démarche d’intervention proposée dans ce texte. En plus d’être basée sur des résultats de recherche, l’approche sous-tendant ce modèle et cette démarche conçoit l’absentéisme comme un phénomène contingent, donc variable selon les contextes et les individus, et aux causes multiples.
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 | 0.044 | 0.055 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.004 | 0.005 |
| 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".