In search of tradition: A comparative analysis of wine production in Calabria (Italy) and British Columbia (Canada)
Bibliographic record
Abstract
The relationship between tradition and the taste of terroir products is often set aside in the literature. In different contexts, tradition can serve different purposes, often identity-related, and be analysed as such. In the case of wine and terroir products, tradition also serves commercial purposes and therefore raises issues link to competition and inequality between producing regions. Based on two anthropological field studies on the wine industry, one in Cirò Marina, Calabria, Italy, and the other in the Okanagan Valley of British Columbia, Canada, this paper proposes a materialist definition of tradition. Tradition can be defined as the opportunities and constraints of the past that explain the organisation of a given production in a particular place. This definition makes it possible to compare discourses on tradition with the historical reality that underlies them, in order to understand the elements that are favoured and those that are abandoned.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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".