Analisis Tingkat Modal Sosial Masyarakat Dalam Pengembangan Pariwisata (Studi Kasus: Kampung Warna-Warni Teluk Seribu)
Bibliographic record
Abstract
Modal sosial yang dimiliki masyarakat memainkan peran yang sangat signifikan dalam meningkatkan pengembangan pariwisata, masyarakat dengan modal sosial yang tinggi cenderung lebih aktif berpartisipasi untuk mencapai tujuan bersama, sehingga meningkatkan kesadaran dan kepedulian terhadap pengembangan pariwisata. Kampung Warna-Warni Teluk Seribu merupakan salah satu wisata yang berkembang karena kesadaran masyarakat sekitar akan potensi wilayah mereka. Sehingga, penelitian ini bertujuan ingin mengetahui kondisi dan tingkat modal sosial masyarakat dalam pengembangan pariwisata yang berada pada Kampung Warna-Warni Teluk Seribu. Metode analisis skoring yang dibantu dengan skala likert digunakan dalam penelitian ini dengan menyebarkan kuisioner kepada masyarakat. Hasil yang didapatkan dari penelitian ini menunjukan bahwa modal sosial yang dimiliki masyarakat Kampung Warna-Warni Teluk Seribu termasuk kedalam tingkatan yang tinggi. Tingginya modal sosial yang dimiliki masyarakat akan meningkatkan partisipasi mereka dalam pengembangan pariwisata.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.024 | 0.003 |
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".