Souffrance au travail dans les salles de rédaction: une comparaison entre Radio-Canada et Québecor
Bibliographic record
Abstract
Cet article propose une analyse comparative de la souffrance au travail se produisant chez deux des plus grandes institutions médiatiques du Canada : le service public Radio-Canada et le conglomérat médiatique privé Québecor. Chez Radio-Canada, la souffrance au travail est étroitement associée à la montée de la gestion néolibérale, cette dernière accentuant le fossé entre le travail prescrit et le travail réel. Chez Québecor, la souffrance au travail est plutôt associée à la division extrême du travail mise en scène par le processus de convergence. Dans les deux cas, le collectif de travail est fragmenté en une lutte individuelle des journalistes entre eux, ce qui provoque une diminution du pouvoir d’agir.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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".