The Function of Spa for Propelling North—East Asia Tourism: a Case Study on Liaoning Province of China
Bibliographic record
Abstract
In the field of Propelling North—East Asia Tourism, spa can play a very important role because of its special function on human physical body and spirit of soul. Author selects spas of China Liaoning as case object in this paper, originally sorts out the available datum on spa situation combining some field investigation. Furthermore under the reference on Korea and Japan spa evolvement, mutual spa visiting、regulation & deregulation、undeveloped & over developed, and sanitary management such as Legionella Pneumophila contamination on spa were discussed as to the development of Liaoning for Propelling North—East Asia Tourism. Key words: Spa; North—East Asia Tourism, Regulation, Sanitary management Resume: Dans le domaine de la « Promotion du Nord - tourisme de l’Asie est», l’etablissement thermal peut jouer un role tres important grâce a sa fonction speciale sur la sante physique et spirituelle de l’homme. L’auteur choisit l’etablissement thermal du Liaoning de Chine comme objet d’etude dans cet article, tire des donnees disponibles sur l’etablissement thermal en combinant des domaines de recherches. De plus, avec la reference a l’evolution de l’etablissement thermal de la Coree et du Japon, la visite mutuelle des etablissements thermaux, la regulation&deregulation, sous-developpe&sur-developpe, et le management sanitaire tel que la contamination de Legionella Pneumophila dans l’etablissement thermal ont ete discutes pour pousser le developpement de la province du Liaoning dans la « Promotion du Nord - Tourisme de l’Asie est ». Mots-Cles: etablissement thermal, Nord – Tourisme de l’Asie est, regulation, management sanitaire
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".