GENERAL TRENDS IN THE DEVELOPMENT OF THE TOURISM SECTOR IN UKRAINE BEFORE AND AFTER COVID 19
Bibliographic record
Abstract
The article deals with the development of the tourism sector in Ukraine. According to the 2026 Strategy for the Development of Tourism and Resorts in Ukraine is determined that the sphere of tourism is associated with the activities of more than 50 industries, and its development diversification of the national economy, preservation and development of cultural potential. Tourism flown into Ukraine is estimated by the World Economic Forum. They estimated the total income from tourism in Ukraine in 2019 at 1.3 billion US dollars. Tourist flows in Ukraine is also observed by statistics of Ukraine. Analysis of statistics shows a significant increase in sales in summer and a decrease in sales in the off-season and winter. Tourism market in Ukraine during COVID-19 is researched, too. According to the State Statistics Service, value of sales by travel agencies in the second quarter of 2020 decreased by 95.8% from the recovery to the second quarter of 2019 and hotel services decreased by 84.1%.
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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 | 0.000 | 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) | 0.011 | 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".