An Examination of an Opportunity for Collaboration Among Stakeholders to Promote Conservation in Sea Turtle Tourism in Gilli Trawangan, Indonesia
Bibliographic record
Abstract
All species of sea turtles are globally endangered, largely due to the impact of unsustainable tourism. Gili Trawangan, a small island, depends on marine tourism and has an abundant population of sea turtles. Stakeholder collaboration is often used to promote sustainable tourism development and sea turtle conservation. This study examined stakeholder collaboration to promote conservation in sea turtle tourism in small islands by exploring a case study in Gili Trawangan, Indonesia. The study was conducted in 2010. It applied qualitative research methods to expand the knowledge of collaboration in the development of sustainable tourism in small islands. Stakeholder analysis helped to reveal barriers to and influences on tourism development to help promote sea turtle conservation and protect the livelihoods of local communities. Key findings are that education, financial considerations, management structure, regulatory conflict, a disconnect to the island, and stakeholder conflict are factors that influenced stakeholder collaboration in Gili Trawangan.
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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 | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".