Bibliographic record
Abstract
This study investigated the culinary landscape of Taiwan by examining three of its most popular night markets with regard to three factors: (1) the role that food plays in the activities of foreign visitors traveling to their destinations; (2) the relationship between food and destination image; and (3) the connection between food and cultural performance. Structured, half-structured, and unstructured interviews were conducted with foreign tourists from North America and Europe (i.e., Canada, the United States of America, the United Kingdom, Germany, and France), who visited the three night markets. Results of showed that Taiwanese night markets are ranked first on the itinerary of foreign visitors, ahead of even the National Palace Museum, and that most of the visitors went to a night market to “experience the culture and taste the food,” or “eat cheap and tasty food.” Most also agreed that night markets could be a critical element in destination image. Others stated that “gastronomy plays a big role in defining culture,” in that, when one likes the food, one might also like the culture. From this study, it is clear that, for most foreign visitors, the moment to enjoy food is also the moment to experience the culture of a night market. Results also showed that shopping at a night market could increase interpersonal interaction and thus enhance the relationship between local people and tourists. Given the popularity of local Taiwanese dishes among foreign visitors, it was also concluded that these dishes are the best way to publicize Taiwanese culture and customs. Since very few studies have focused on these issues, this study makes both theoretical and managerial contributions to the understanding of culinary tourism, particularly within the Taiwanese context.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.021 |
| Open science | 0.001 | 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".