Macchine e cicli nella produzione del vino: uno studio comparativo tra Andalusia (Spagna) e Puglia (Italia).
Bibliographic record
Abstract
Andalusia and Apulia, both in the national and international context, are centres that stand out for their important wine production. Over the centuries, they have experienced a gradual and significant development of industrial making process, and, above all, the machinery used in the processes. Around the last quarter of the 19th century, the small, sometimes modestly sized, artisan cellars began to develop into modern wine cellars or wine factories in which, for the development of the production process, the new machines played a fundamental role in the technological evolution and architectural design of the production structures. The aim of this paper is to study the stages in the wine making process and the technological innovation of the machines preserved and exploited inside the historical cellars; moreover, we want to demonstrate - through a comparative study between the two realities (Spanish and Italian) - if there were and are different production systems (cycles, machines, equipment and organisation) to obtain the finished product.
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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 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".