“La privation relative et le niveau d'identification comme déclencheurs du désengagement psychologique : une étude exploratoire auprès d'éducatrices”
Bibliographic record
Abstract
Résumé Cette étude, réalisée auprès de 106 éducatrices, démontre que des stratégies de protection de l’estime de soi, notamment le discrédit du feedback négatif, la dévaluation du domaine de travail et le recours aux comparaisons intragroupes, peuvent contribuer à un modèle de prédiction plus extensif de désengagement psychologique. Ce faisant, c’est plutôt leur effet néfaste sur l’estime de soi qui a été mis en relief. Cette étude a également permis de démontrer qu’être un laissé-pour-compte de son groupe professionnel, mesuré par la privation relative intragroupe, peut entraîner une baisse de l’identification au groupe et renforcer de façon indirecte le retrait non plus psychologique, mais professionnel du domaine.
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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 | 0.008 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".