Transport et logistique des circuits courts alimentaires de proximité : la diversité des trajectoires d’innovation
Bibliographic record
Abstract
Convoqués dans la lutte contre le changement climatique, les circuits courts alimentaires de proximité (CCAP) sont à la recherche d’améliorations de leurs schémas logistiques. Les agriculteurs s’engagent en effet de plus en plus dans des processus d’innovation dont les vertus pour la réduction des émissions de gaz à effet de serre soulèvent la controverse. Fondé sur l’hypothèse de la diversité des trajectoires d’innovation, cet article cherche à en préciser les formes et les processus d’émergence, pour s’interroger ensuite sur leur durabilité environnementale. Il ressort d’une investigation menée en Région Nord-Pas-de-Calais entre 2013 et 2015, que l’innovation en la matière comporte des dimensions organisationnelles et sociales primordiales propices à un développement durable. Ce résultat invite à suggérer aux pouvoirs publics d’accompagner le développement des CCAP en favorisant la mise en relation des acteurs et de développer des services intensifs en connaissances en faveur de la conception de leurs organisations logistiques. Codes JEL : O310, O330, O350, Q130
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 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; 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".