L’expression de l’épuisement professionnel en contexte soignant : une question de normativité sociale ?
Bibliographic record
Abstract
L’objectif de cette étude était d’observer si des soignants français, infirmier(e)s et aides-soignants(e)s, adaptaient leurs explications relatives aux causes de leur épuisement professionnel afin de répondre aux attentes normatives de l’organisation de travail (Dubois, 2003). Quatre-vingt-neuf soignants ont répondu à un questionnaire d’autoprésentation. Les résultats ont effectivement montré une plus grande clairvoyance, c’est-à-dire une meilleure connaissance de ces attentes normatives 1) en matière de valorisation sociale des explications relatives à l’effort (explications internes et contrôlables) et face à un supérieur davantage que face à des collègues et amis; 2) davantage chez les soignants-cadres que chez les non-cadres. La discussion porte sur la pertinence, en termes de prévention, d’une analyse socionormative du discours relatif à l’épuisement professionnel.
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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 | 0.018 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.049 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".