Dissonance éthique : forme de souffrance par la perte de sens au travail
Bibliographic record
Abstract
Partant d’un constat sur le sens du travail, nous explorons ses liens hypothétiques avec la dissonance éthique. Nous étudions ce phénomène combiné par le biais de concepts tels que l’aliénation sociale, la mauvaise foi, la cohérence et l’authenticité. Nous présentons les données issues d’une recherche exploratoire effectuée à travers des entrevues sur des dirigeants des ressources humaines au Québec. Nous découvrons qu’ils valident nos conceptions théoriques notamment sur les notions de cohérence et d’authenticité comme remède de la dissonance éthique et comme soutien du sens au travail. Ces deux notions doivent être également considérées comme interdépendantes. Nous proposons ainsi un cadre théorique afin de promouvoir d’autres recherches sur ces thèmes.
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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 | 0.009 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.007 | 0.035 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| 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".