Resident and visitor perceptions of island tourism: green sea turtle ecotourism in Penghu Archipelago, Taiwan
Bibliographic record
Abstract
This study compares residents and visitors on the island of Wang-An in Penghu archipelago (Taiwan) in terms of four variables (ecotourism perception, environmental attitude, ecotourism behavior, local environmental knowledge). Results show that island visitors are positioned closer to the deep end of a shallow-deep spectrum on a few ecotourism characteristics such as stronger environmental commitment, smaller groups, and more personal experience. With a fuzzy cluster analysis reducing the four variables to two dimensions (ecotourism literacy, environmental familiarity and concern), the two clusters of island residents and visitors are found to overlap greatly with a noticeable divergence in the dimension of environmental familiarity and concern as a result of residents' better local environmental knowledge. Residents express greater approval of economic development on some items of the environmental attitude subscale. It is recommended that visitors have longer tours that increase interaction with residents to learn more about the local environment while serving as educators of ecotourism.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".