Les entreprises en économie sociale face aux défis de l’hybridation des ressources
Bibliographic record
Abstract
L’article porte sur les ressources du marché, redistributives et réciprocitaires mises à la disposition et utilisées par les entreprises sociales québécoises et aux enjeux que leur hybridation pose aux dirigeants d’entreprises d’économie sociale. Cette diversification des ressources amène ces entreprises à répondre aux besoins parfois divergents du marché et des populations visées par leurs missions sociales. Les entreprises doivent alors faire preuve d’une grande adaptabilité pour atténuer les tensions issues de ces différentes logiques (de marché, administrative et sociale). Les modes d’hybridation des ressources peuvent constituer une réponse à ces tensions et être l’objet de stratégies de la part des entreprises, en leur permettant d’affirmer une indépendance vis-à-vis de chacun des bailleurs de fonds, et plus particulièrement des pouvoirs publics.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".