Development and ranking of tourism management goals for Wolong and Wanglang Giant Panda Nature Reserves, China
Bibliographic record
Abstract
The giant panda (Ailuropoda melanoleucais) is an endangered species with a high-profile international image.Its profile is heightened through its use by the World Wildlife Fund for Nature (WWF) as a symbol of conservation.To protect the giant panda and its habitat, the Chinese government established 33 nature reserves between 1962 and 2002, with a total area of 5,830 km 2. There are about 1,590 wild giant panda protected and managed in their natural habitat in China.The Wolong and Wanglang Nature Reserves in the Minshan Mountains of Sichuan Province have thriving populations of giant pandas and, recently, have seen large increases in tourism.Neither of these reserves have formal tourism management goals or plans.This research used a literature review to develop tourism management goals and a Delphi method applied to reserve managers, scientists and park visitors to develop and prioritize the goals for these reserves.The research found that the tourism management goals developed from the international literature were applicable in this specific situation involving a charismatic, endangered species in China.It also revealed that prioritization amongst many applicable goals can also be achieved.This is the first time that tourism management goals have been developed for the giant panda reserves in China.It is also significant that these goals were developed using the opinions of three key groups involved in research, resource management and tourism at the reserves.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".