The pattern of visiting restaurants in Glagah Beach, Kulon Progo Regency, Yogyakarta
Bibliographic record
Abstract
Abstract Nowadays, culinary tourism is not just a transient phenomenon but also has become an attraction and the main destination for travelling. Therefore, restaurants are believed to be able to become the main element that functions as an adhesive in a tourist attraction. In this study, the restaurant is the focus of the research, namely Seafood restaurants located in Glagah Beach Tourism Object, Kulon Progo Regency, Yogyakarta. This study aims to analyze the attractiveness of restaurants and patterns of visiting seafood restaurants in Glagah Beach Tourism Objects. The variables used in this study include the uniqueness of restaurants, consumer characteristics, and tourist characteristics. The results showed that the attraction of seafood restaurants was more significant than the other of Glagah Beach attraction. The pattern of visiting restaurants formed at seafood restaurants is the result of weekday and weekend visits from local visitors, sub-regional visitors, and regional visitors.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 | 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".