Conflits autour de l’indication géographique Hatcho miso : de l’exclusion vers le choix d’une alternative ?
Bibliographic record
Abstract
Le cas de la certification de l’indication géographique (IG) Hatcho miso constituerait un des cas les plus conflictuels des politiques japonaises de « marques régionales » promues depuis les années 2000 : les deux fabricants historiques de la ville d’Okazaki se sont en effet retrouvés exclus du groupe des producteurs inscrits dans ce label validé en 2017 par l’État. Les conflits autour de cette certification ont pour toile de fond l’opposition profonde entre deux modes de gouvernance « sectorielle » et « territoriale », qui rend difficile la recherche d’un compromis entre deux parties. Pour sortir de cette impasse, il est proposé de construire un autre marché légitime fondé sur des normes à base civique, délibérative et territorialisée.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".