Host Community Attitude Toward Trade-off Between Tourism Development and Environmental Conservation: A Case Study of Palau
Bibliographic record
Abstract
Palau is home to one of the purest marine ecosystems in the Pacific Ocean; however, since 2015, Palau has suffered an economic decline due to the negative environmental effects of over- tourism. The island country is at the crossroads of stagnation and recovery. The community attitude towards the trade-off between tourism development and environmental conservation are critical for forging a tourism strategy. This research attempts to identify the attitudes, values and beliefs of the community and proposes an appropriate plan within the current tourism scenario. The method of in-depth interviews and secondary data analysis were applied using NVivo software. The results showed that there are different viewpoints between the residents and the government, but there is one aspect that everyone agrees on: the need to develop tourism strategy that runs parallel to environmental conservation by upgrading Palau’s tourism to provide a high-end product. This would ideally result in finding a balance between the needs of the host community and sustainable tourism in a win-win scenario.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".