Правове забезпечення розвитку екологічного туризму в Україні: сучасний стан та перспективи
Bibliographic record
Abstract
The article addresses the pressing issues surrounding the development of ecological tourism as a relatively new yet rapidly growing sector of the tourism industry, which gained global recognition following the adoption of the Quebec Declaration in 2002. The core theoretical foundations of ecotourism are defined, beginning with the first conceptualization by Héctor Ceballos-Lascuráin, which emphasizes its goal of preserving natural and cultural heritage. Particular attention is paid to Ukraine’s potential for ecotourism development, which stems from its favorable geographical location, rich natural and recreational resources, unique landscapes, deep-rooted traditions of harmonious coexistence between humans and nature, and a well-developed network of protected areas. The article analyzes the legal framework for tourism activities in Ukraine, especially under martial law, taking into account the roles of the Verkhovna Rada, the Cabinet of Ministers, central and local executive authorities, and military administrations. The importance of the Law of Ukraine “On Tourism” and other regulatory acts in ensuring licensing, standardization, and certification of tourism services is discussed. The role of tourism as a tool for environmental education, personal development, and fostering civic responsibility is also explored. The impact of the full-scale war on Ukraine’s tourism industry is examined, revealing major losses due to active hostilities, infrastructure destruction, closed airspace, and disrupted logistics. The adaptation of domestic tourism and the repurposing of tourism infrastructure to meet the needs of internally displaced persons are highlighted. The article underscores the necessity for environmentally responsible ecotourism development in Ukraine, advocating for systematic approaches that include the implementation of environmental policies for tourism businesses, biodiversity conservation, visitor education, pollution minimization, and sustainable resource management. It is concluded that ecotourism can serve as an effective tool for the preservation of natural areas, the promotion of sustainable development, the improvement of the national economy, and the strengthening of Ukraine’s international standing.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.004 |
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".