Discussion on the Sustainable Development of Rural Tourism in Inner Mongolia: Based on the Perspective of Rural Tourism Development
Bibliographic record
Abstract
Since the 1960s, the rural tourism in European and American countries has become a large industry, rural tourism in China started to develop in the late 1980s. Based on the research on development patterns of rural tourism at home and abroad, the rural tourism development in Inner Mongolia can be divided into several patterns. The pattern of contempt agriculture and animal husbandry business income; the pattern of improving national culture connotation of rural tourism constantly; the pattern of mutual promotion of ecological leisure agriculture and animal husbandry and tourism; the pattern of several business fusion from the perspective of rural tourism industry. From the perspective of the rural tourism development patterns, the author proposed excaving rural tourism cultural connotation is the basis for sustainable development in Inner Mongolia; pay attention to the particularity of agricultural landscape, construct rural tourism activities ecological systems; adjust measures to local conditions, combine the rural tourism aesthetics with science together; pay attention to three parties participate in the rural tourism activities, especially to the Inner Mongolia local farmers and herdsmen. The rural tourism unique image should be set up soon and it will promote the sustainable development of rural tourism in Inner Mongolia.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".