Les coopératives de travail en milieu urbain au Québec: quelques perspectives de développement
Bibliographic record
Abstract
Cle ¨ment Mercier, professeur-chercheur, et Annick Me¨tivier, assistante de recherche, De¨partement de service social de l'Universite¨de Sherbrooke, Jean-Pierre Girard, chercheur a© la Chaire de coope¨ration Guy-Bernier de l'Universite¨du Que¨bec a© Montre¨al (UQAM) et Re¨jean Mathieu, professeurchercheur au De¨partement de travail social de l'UQAM. 2 Cre ¨e¨en 1981, le RQCCT a d'abord existe¨comme Comite¨Provincial des coope¨ratives de travail.Suite a© la cre¨ation en 1985 de la Fe¨de¨ration que¨be¨coise des coope¨ratives de travail (FQCT), cre¨ation a© laquelle il a contribue¨, lui con¢ant le mandat de regrouper et repre¨senter les coope¨ratives de travail (CT), le RQCCT s'est oriente¨vers la promotion de la coope¨ration du travail a© travers la formation des coope¨rateurs et coope¨ratrices du travail, et l'accompagnement de groupes porteurs de projets de CT.Il est base¨a© Montre¨al, mais son rayonnement s'exerce dans tout le Que¨bec.Ses principaux modes d' intervention sont la sensibilisation et l'e¨ducation, l'encadrement et le soutien de projets de coope¨ratives (jeunesse et adultes), et la concertation entre les groupes porteurs de projets coope¨ratifs et leur communaute¨locale.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".