Dampak Pengembangan Kebiajakan Anugerah Desa Wisata Indonesia (ADWI) terhadap Pertumbuhan Industri Pariwisata dan Perekonomian Masyarakat Lokal
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
Tourism is an important sector for the Indonesian economy, and the country is well-equipped to make tourism a leading industry that can compete on the global stage. However, the Covid-19 pandemic has had a significant impact on the tourism industry in Indonesia. To revive the industry and attract more tourists, the Ministry of Tourism created Anugrah Desa Wisata Indonesia (ADWI), an award given to outstanding tourist villages that meet certain assessment criteria. This initiative is expected to boost tourism and promote economic growth in local communities.This research aims to examine the impact of the ADWI policy on the development of the tourism industry and the local economy. The study uses a descriptive qualitative approach with data collected from interviews, observations, and other supporting documents. The results indicate that the ADWI policy has had a significant impact on the tourism industry, as evidenced by the development of supporting infrastructure, an increase in the number of visitors, and income generated from tourist attractions. However, while there have been more business and job opportunities, the impact on the local economy has not been significant.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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