Exploitation and Sustainable Development of Tourism Geological Resources in Liaoning Province of China
Bibliographic record
Abstract
As one kind of theory concept, the sustainable development contains the extremely rich thought connotation. Its thought has risen to the present ethics view; therefore it may seep into the human consciousness and the ideas, and can instruct the people to think and the implement motions. The article has mainly discussed the tourism geology resources concept and characteristics. Additionally, the paper considers the existing problems and proposes the countermeasures of the exploitation and sustainable development of the tourism geology resources in Liaoning, China. Key words: tourism geology resources, sustainable development, countermeasures of exploitation Resume: Comme un concept theorique, le developpement durable englobe des connotations extremement riches. Ce concept a ete erige au niveau ethique de sorte qu’il penetre la conscience et l’ideal des hommes et peut apprendre les gens a penser et a agir. Cet article examine principalement le concept de ressources geologiques touristiques et ses caracteristiques. D’ailleurs, il etudie les problemes existants et propose des contre-mesures en ce qui concerne l’exploitaton et le developpement durable des ressources geologiques touristiques de la province du Liaoning de Chine. Mots-Cles: ressources geologiques touristiques, developpement durable, contre-mesures de l’exploitaton
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".