Фестивалі вуличної їжі як елемент туристичної дестинації
Bibliographic record
Abstract
For many world economies, the field of tourism is one of the main priorities, because budget revenues from it are at a fairly high level. Gastronomic tourism in the world and in Ukraine, in particular, is gaining popularity among various categories of tourists. The article investigates and analyzes the features of street food festivals as an element of a tourist destination in modern conditions of economic development. The necessity of scientific research of the declared subject is substantiated. We consider destinations as location objects that have tourist and recreational resources available due to the availability of the necessary infrastructure, which are delivered to the consumer in the form of a tourist product formed and prepared for sale by modern means of marketing communications in the system of integrated business management. Gastronomic tourism is positioned by us as a factor of socio-economic development of territories. The development and peculiarities of functioning of world famous food festivals are trace: Bacon Fest (Sacramento, USA), Food and Wine Festival (Melbourne, Australia), Peixe em Lisboa (Portugal), Brussels Food Truck Festival (Brussels, Belgium), Pizzafest (Naples, Italy), Taste of Chicago (Chicago, USA), Fiesta del Marisco (O-Grove, Spain), Salon du chocolat (Paris, France), Ribfest Toronto (Canada), Foodies Festival Brighton, (UK). The influence of gastronomic tourism on the brand formation of the tourist place within the spatial boundaries of which it takes place is emphasized. The main characteristics of the life cycle are identified and the factors influencing the stage of development of street food festivals in the context of a tourist destination are identified. Thus, street food festivals not only involve tourists in the gastronomic heritage of the region, but also contribute to the acquaintance with the cultural, historical, social, economic, archaeological features of the region.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.029 | 0.016 |
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".