Экологический туризм в России и странах Скандинавии
Bibliographic record
Abstract
In recent years, in our country there is a significant growth of interest in such unusual trend in tourism as ecological tourism. Ecotourism is a kind of nature tourism, which brings together people who want to be as close as possible to nature. The very concept of for our country is a relatively new, but in Western Europe, USA, Canada, Australia and other countries such kind of rest has already gained a lot of popularity. In Russia, despite the opportunities for development of this trend, ecotourism is underdeveloped. This article defines the concept of ecotourism, describes the peculiarities of this type of tourism, and lists the main requirements for eco-tours. The authors give the main reasons hindering the development of eco-tourism in our country. The authors consider in detail the Nordic countries as an example of the highest level of eco-tourism organizing. Currently, it is one of the most popular destinations for eco-tourists. The Nordic countries, namely Norway, Sweden and Denmark, provide great opportunities for the ecotourism development. It is promoted by the magnificent nature, picturesque landscapes, good level of state support and protection of national parks and reserves, the interest of the local population in maintaining the ecotourism facilities in proper state and creation of comfortable conditions for recreation of foreign and domestic tourists, who prefer to spend their holidays or a weekend surrounded by nature. There are solutions for active rest and relaxing vacation, which allows the Nordic countries to attract more and more eco-tourists year by year.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.041 | 0.020 |
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".