Bien faire et se tenir en joie : la bienveillance, les motivations et les comportements des travailleurs à la lumière de la théorie de l’autodétermination
Bibliographic record
Abstract
Cet article présente le possible besoin de bienveillance en s'intéressant à ses implications dans le contexte du travail. Nous proposons que sa satisfaction favorise la motivation autonome, le bien-être et les comportements prosociaux, tandis que sa frustration augmente la détresse psychologique, la motivation contrôlée et les comportements déviants. Basés sur un devis de recherche transversale, les résultats montrent que la satisfaction de la bienveillance a un impact significatif sur le bien-être, ainsi que sur la motivation autonome et les comportements prosociaux au travail. Cependant, les effets de la frustration de la bienveillance sur la détresse, ainsi que sur la motivation contrôlée et la déviance, ne sont pas significatifs.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".