Wine and Cultural Tourism as One of Niche Tourism Opportunities in Canada and Slovakia
Bibliographic record
Abstract
The article deals with new development in tourism, especially after the pandemic situation of COVID-19. In the period of economic crises and turmoil tourism places are able to benefit from the positive influence of so called soft and more sustainable values created by the improvement of image, reputation and the quality of destination services, by using of local cultural resources and heritage. The objective of this study is wine tourism, which has become one of the growing niche attractors in specific regions all over the world. In the combination with culinary tourism and cultural tourism offers a specific tourism product not only to the segment of cultural tourists, but tends to be more attractive to the segments of seniors. The study will be focused on two countries, Canada and the case of Brand Niagara Region and Slovakia. The qualitative research has been prepared, especially focused on product development and the innovative promotion strategies. These two countries were chosen due to a personal experience, former research and interest in this topic.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".