De la vision à l'action: la performance dans les entreprises d' insertion du Québec
Bibliographic record
Abstract
RESUME Les entreprises d'insertion, nées au début des années 1980, sont des acteurs d'économie sociale ayant une mission d'insertion socioprofessionnelle de divers groupes (jeunes et femmes notamment). Dans cet article, nous exposons les enjeux de gestion de la performance et illustrons comment les entreprises d’insertion sont amenées à une hybridation de la performance, tentant d’assurer la productivité tout en respectant leur mission sociale, soit celle de formation et d’insertion professionnelle. La recherche repose sur des entretiens menés auprès des responsables et employés de neuf entreprises d’insertion au Québec. ABSTRACT Work integration social enterprises (WISE), born in the 80s, are actors in the social-economy field whose mission is the socio-professional integration of various groups (youth and women, notably). In this article, we present the challenges of performance management for such organizations, which have to realize a sort of hybridization, as they have to simultaneously ensure production and productivity while fulfilling their social mission, which consists of training and professional integration. The research for this article was based on interviews with the managers and workers of nine social enterprises in Québec.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.006 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".