The Details Exploration of Intangible Cultural Heritage From the Perspective of Cultural Tourism Industry: A Case Study of Hohhot City in China
Bibliographic record
Abstract
the intangible cultural heritage is an important part of the cultural tourism industry marketing.As the cultural element ,the intangible cultural heritage can impel the main cultural tourism industry become more diversified and more extensively involved of public.Intangible cultural heritage can enhance the experience of tourists in culture . The intangible cultural heritage of Hohhot has an important value ,. keeping up with the times and has gone through long history, it is synchronic,all this can increase the value of tourism destination by explorating the innovation of intangible cultural heritage.With the help of real drama culture, the local brand value of intangible cultural heritage can be created. And it can realize the endorsement value of the people speaker. This article explores the intangible cultural heritage from the perspective of cultural tourism in order to promote the tourism development in Hohhot.
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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 | 0.000 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".