Marca regional versus marca comercial: a defesa da denominação de origem Porto na segunda metade do século XIX
Bibliographic record
Abstract
In the second half of the 19th century, the Port wine sector and the Douro Wine region were marked by several factors, in particular vine diseases, new liberal legislation and changes in markets, which would lead to a structural transformation in the Portuguese wine sector. The expansion of vineyards throughout the country in the last quarter of the 19th century boosted the Port wine forgery. As a result, there was increasing antagonism between Douro winegrowers and exporters, representing two different visions of the same issue: on the one hand, the defence of the regional brand, and on the other, the defence of the commercial brand. There was a clash of pressure groups lobbying the Government, with the Douro elites multiplying their initiatives and claims in an attempt to put pressure on the State to define and defend the Port appellation of origin for Douro wines.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.001 | 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; both teacher heads agree on what is shown here.
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".