Bibliographic record
Abstract
Cet article analyse le double processus de la circulation du vin comme marchandise et des significations qui l’entourent dans le contexte de la mondialisation. À la lumière de l’étude de Bestor (2004) concernant la circulation transnationale du thon, j’identifie certaines caractéristiques de la commercialisation transnationale du vin, notamment l’existence de deux systèmes de connaissances (les lois et les normes oenophiles) qui influencent la manière pour les consommateurs et les producteurs de penser et de se représenter le vin, systèmes qui participent au caractère fétiche de cette marchandise. Via une analyse du développement de l’industrie vitivinicole à Cirò Marina, en Calabre, je démontre l’influence conjointe des législations et de l’internationalisation du commerce du vin sur l’évolution la production locale. Sont aussi relevés des décalages au niveau des représentations locales du vin. Plutôt que de circuler, la manière avec laquelle les personnes produisent et interprètent les significations du vin varie davantage en fonction de leur position au sein de la production.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 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".