POTENSI DESA WISATA SEBAGAI DESTINASI INSENTIF : STUDI KASUS DESA WISATA DI YOGYAKARTA
Bibliographic record
Abstract
ABSTRAK Yogyakarta merupakan daerah di Jawa Tengah yang memiliki beragam desa wisata yang sudah dilengkapi oleh berbagai fasilitas dan atraksi yang unik serta menarik. Desa wisata di Yogyakarta memiliki potensi untuk menjadi destinasi untuk penyelenggaran event MICE yaitu perjalanan insentif. Contoh desa wisata yang memiliki potensi besar untuk pengadaan perjalan insentif adalah desa wisata Tinalah di Kulon Progo dan desa wisata Nglanggeran di Gunung Kidul karena dua desa tersebut sudah memiliki berbagai macam fasilitas yang memadai dan atraksi yang berpotensi untuk dikembangkan. Penelitian ini sebagai upaya megidentifikasi secara lebih detail potensi yang dimiliki, dengan demikian maka dapat diketahui karakter desa wisata yang dapat menjadi destinasi perjalanan insentif. Kata Kunci : Desa Wisata, Perjalanan Insentif
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How this classification was reachedexpand
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 teacher head, 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".