Protection of Non-material Cultural Heritages and Tourism Development
Bibliographic record
Abstract
As an ancient nation with a long history and civilization, China is abundant in non-material cultural heritage, which not only lays the cultural foundation for Chinese nation but also carries original gene of the Chinese civilization. Non-material cultural heritage, recognized as a form of culture as well as a source of tourism, arouses gradual concerns and focus from people involved. This paper firstly proposes the definition of non-material cultural heritage, its origins and features, on the basis of which the role it plays in tourism has been brought out. Meanwhile, great emphasis is put on the concerning problems in tourism. In view of these issues, suggestions and possible solutions have been offered to protect the non-material cultural heritage. Key Words: non-material cultural heritages, protection, tourism development Resume: Ayant une longue histoire et civilisation, la Chine est un ancien pays riche en heritages tres abondants de culture non-materielle, qui non seulement ont jete les fondements de la culture des chinois, mais aussi portent les genes originels de la culture des chinois. Comme une forme de culture ainsi qu’une source de tourisme, la culture non-materielle est reconnue de tout le monde de plus en plus, et aussi attire-t-elle les attentions et les refiexions des gens. Cet article explique d’abord le concept, l’origine et les caracteres de la culture non-materielle, puis demontre que la culture non-materielle est une source importamte de tourisme en mettant l'accent sur les analyses de ses problemes dans le developpement du tourisme, et donnant des propositons et des points de vue pour sa protection. Mots-Cles: heritage de culture non-materielle, protection, le developpement du tourisme
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".