Analysis of Pentahelix Tourism Village for Ecotourism Development in Batu City, East Java
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
East Java Province, particularly Batu City, is a significant tourism hub offering opportunities for investment in artificial and ecological attractions.Batu City is adopting sustainable tourism through ecotourism, emphasizing environmental preservation, community empowerment, and socio-economic benefits.However, unplanned development of tourist villages can lead to negative impacts such as environmental damage and cultural erosion.Effective ecotourism management requires active community involvement and coordinated stakeholder efforts.This study examines the role of Pentahelix-comprising government, private sector, academia, media, and community-in developing sustainable ecotourism-based tourist villages.The research identifies key Pentahelix elements influencing this development.Data was collected through surveys, interviews, and observations involving village leaders, tourism community organizations, academics, media, and investors.The study utilized Interpretative Structural Modeling (ISM) for analysis, supported by Exsimpro software.ISM provided a systematic framework to prioritize and understand interactions among variables, offering actionable insights for stakeholders.Findings reveal that successful ecotourism development depends on five key variables: regulations and policies, research and development, private investment, community participation, and media reach.Clear rules, thorough research, private sector investment, active community involvement, and effective media strategies are crucial for optimizing sustainable ecotourism benefits and ensuring the growth of tourist villages.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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