Determinants of tourism attractiveness for Taiwan’s offshore islands
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Evaluating the influence factors of the attractiveness of offshore island tourism will help to understand customers’ motivations in choosing tourism activities, and for the travel operators to improve their promotion of tourism products. This paper employed the fuzzy analytic hierarchy process method to empirically analyze the determinants of tourism attractiveness of Taiwan’s offshore islands. The results indicate that the ‘substantial aspect’ is the most important evaluation dimension on offshore island tourism attractiveness. Among the 16 influence factors, the ‘natural resources of regional attractions,’ ‘cultural heritage and cultural resources,’ and ‘well-established and convenient transportation’ are the most three determinants about the tourism attractiveness of Taiwan’s offshore islands. Furthermore, some discussions concerning the key determinates are provided for Taiwan’s offshore tourism.
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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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 it