Culinary tourism, the newest crop in Southern Italy’s farms and pastures
Bibliographic record
Abstract
Food tourism offers important opportunities for southern Italian communities struggling with high unemployment and the erosion of food traditions. These foodways are at once threatened in a modern reality and desirable to tourists looking to connect with local food and its producers as part of an “authentic” travel experience. For this new economy to be sustainable, both economically and culturally in southern Italy, there are lessons to be learned from Tuscany’s embrace of agriculturally-based tourism, where the power of tourism has crafted romantic narratives of the Mediterranean Diet and La Dolce Vita that are often more meaningful to the paying customer than rural residents. Data collected in the regions of Puglia and Campania since 2014 are presented here to explore how best to validate food traditions through tourism. Examples of food and heritage tourism, including lemon garden tours, the historic role of nuns in pastry making, and shepherding traditions of the Murgia Plateau, highlight the potential benefits and vulnerabilities of tourism-based revitalization initiatives.
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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 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".