COMPARISONS OF ECOTOURISTS AND GENERAL TOURISTS IN BEHAVIOR CHARACTERISTICS: A CASE STUDY OF BAIHUA MOUNTAIN NATURE RESERVE IN BEIJING
Bibliographic record
Abstract
This paper based on an effective classification of ecotourists and general tourists,we conducted a thorough comparison of the characteristics between the ecotourists in Baihua Mountain and general tourists from several perspectives.Looking at the demographical statistical characteristics,we verified the conclusion of foreign researchers that ecotourist are more educated and have more income than general tourists.We discovered that the majority of the Baihua Mountain ecotourist are young peoples between the age of 18 and 34(over 70% of all samples),and is quite different than ecotourists abroad,where the majority are middle-age peoples between the age of 35 and 54.In terms of motivation characteristics,we didn't found too much difference between the ecotourists and general tourists in Baihua Mountain and their counterparts in abroad.Comparing with developed countries such as Canada,the variations of the motivation between the ecotourists and general tourists in China is smaller.In terms of the environment attitude characteristics,ecotourists are much better than the general tourists.In terms of management tendency characteristics,we found Baihua Mountain tourists are more in favor of indirect management.Hence,simple direct management measures such as limiting the number of visitors will most likely push much more ecotourists out of the doors of nature reserves.In China today,most of the researches on ecotourism are still in the phase of introducing the concept,real case studies are very rare.Among the few real case studies,most of them are focused only on analyzing the resources of the ecotourist destination.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".