L'innovation, condition de la pérennité des systèmes agroalimentaires localisés
Bibliographic record
Abstract
La production agroalimentaire artisanale et les produits de terroir ont bien souvent une image traditionnelle, celle de pratiques figées dans le temps, transmises de génération en génération. L'analyse montre au contraire des systèmes agroalimentaires localisés (Syal) confrontés à des besoins permanents d'innovation, pour faire face à des évolutions internes (réduction de la capacité de coordination et d'action collective) et/ ou externes (nouvelles contraintes ou opportunités techniques ou commerciales). Face à ces besoins, certains systèmes sont à même d'instaurer des interactions accrues entre acteurs locaux et acteurs extra-locaux, débouchant sur des innovations techniques ou organisationnelles. Le concept de Syal permet alors d'éclairer bien mieux ces processus d'innovation collectifs et localisés que ne le font les schémas diffusionnistes, et de mettre aussi en évidence les voies d'appui.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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; both teacher heads agree on what is shown here.
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".