Mesurer la cohésion sociale dans les coopératives: les principaux indicateurs appliqués aux coopératives forestières du Québec dans leur relation avec l'innovation économique
Bibliographic record
Abstract
• Dans un contexte ou il est souvent admis que l'economique et le social s'opposent de plus en plus dans nos societes modernes, il devient imperatif d'evaluer l'impact social des strategies de developpement local et regional a l'aide d'indicateurs precis. Les cooperatives forestieres du Quebec representent, pour les communautes forestieres, un vecteur du developpement regional parce qu'elles constituent un moyen d'insertion socioeconomique et, surtout, parce qu'elles tentent de plus en plus d'innover dans leurs processus de gestion et de production. Cet article tente de definir les principaux indicateurs permettant de mesurer la cohesion sociale dans les cooperatives forestieres du Quebec, et ce, selon leur niveau d'innovation economique.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".