Quelques réflexions concernant la salarisation du milieu communautaire québécois
Bibliographic record
Abstract
Le milieu communautaire québécois est un acteur social important au sein de la société québécoise. Depuis plus de cinquante années, les organismes communautaires se sont multipliés et sont engagés aujourd’hui dans plusieurs sphères d’activités. Des comités de citoyens issus des milieux urbains populaires au début des années 1960 aux organismes d’action communautaire autonomes d’aujourd’hui, il y a toujours eu des préoccupations, théoriques et pratiques, autour de la question de la co-habitation des intérêts entre les salariés/professionnels et les citoyens et du rapport qui se développe dans le cadre des actions menées. Le présent article esquisse une trajectoire de l’évolution de ces rapports. Nous démontrons comment la salarisation/professionnalisation du milieu communautaire comporte des avantages mais également des enjeux dans le contexte social actuel.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.013 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".