Status and trends of tourism development in the light of the results of studies on the competitiveness of the districts of Podkarpacie Province
Why this work is in the frame
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Bibliographic record
Abstract
Th e competitiveness of the tourist reception areas is the ability to achieve greater economic, social and cultural eff ects related to the development of tourism than the average for a country or a selected area across a continent or across the world. Regions compete with each other for both tourists and investors, also outside the tourist industry. In the era of globalization, competition between regions also increases its spatial extent. Moreover, it is diffi cult to talk about the ability to compete without having a vision of the future or having appropriate tools for the implementation of the vision, but these are just the beginning, and the eff ects which can bring tangible benefi ts to a region are the fruits of skillfully and consistently pursued policies in the development of each tourist region such as Podkarpacie Province with a great number of its competing districts. Th e aim of this article is to analyse the major determinants of tourist competitiveness related to the new paradigm of regional development, based on the example of Podkarpacie districts. Th e competitiveness of the tourist districts in Podkarpacie Province depends largely on their tourist attractiveness and their attractiveness for investors. On the basis of studies1 on the competitiveness of Podkrpackie districts, presented in the article, the status and trends of tourism development in this area are analysed. JEL Classifi cation Code: L23
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 it