Partenariats et innovation organisationnelle dans les coopératives agricoles : l’exemple des vins effervescents et des céréales1
Bibliographic record
Abstract
Bien que moins étudiée que d’autres formes d’innovation, l’innovation organisationnelle est une composante importante de l’innovation des entreprises, notamment pour celles n’appartenant pas à des secteurs de haute technologie comme c’est le cas des entreprises agricoles et agroalimentaires. Nous nous intéressons plus spécifiquement dans cet article aux coopératives agricoles et à leurs stratégies d’innovation. Trois études de cas nous permettent de montrer comment ces entreprises, plutôt orientées vers des produits bénéficiant de signes de qualité, développent des innovations en s’appuyant sur leur réseau, leurs partenariats, et leurs liens avec leurs adhérents. Cela suppose de leur part des capacités d’absorption et des innovations organisationnelles en complément, voire en substitut, d’innovations technologiques.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".