The Tourism Development Strategy Based on Rural and Local Wisdom
Bibliographic record
Abstract
This article is about to discover the concept of rural tourism developmental strategies based on rural and local wisdom in the Island of Bawean in Gresik Regency. The research uses qualitative mrthod in which the mapping and inventory of primary data sources of rural based potential tourism with local wisdom are taken. The results show that the tourist potentialities among others are: (1) natural potencies of tourism which include Lake Kastoba, the Gili Island, the Cina Island, Noko Island, Nyimas Beach, Mayangkara Beach , Laccar waterfall, Pattar Selamat waterfall, Sangkapura hot spring; (2) Religion (historical) tourism potencies including Jherat lanjeng (Long Ceemetery), Siti Zaenab Waliyullah Cemetery, the Cemetery of Maulana Umar Mas'ud, Kercengan arts and culture, Mandailing arts and culture, and there is also Deer breeding of local type, typical culinary, woven mats made of pandan leaves and so much more. This research suggests that the regional Government of Gresik (Regional Tourism Agency) and Provincial Tourism Office of East Java have to promote their tourism potentials as a sustainable flagship program.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".