Sustaining Local Communities through Cultural Industries Based on Local Wisdom in Tigawasa Village
Bibliographic record
Abstract
Globalization with the presence of information technology and development is a challenge for the sustainability of local communities that identic with tradition and culture. The value of local wisdom is an identity that is a strength because there is no in other places. This study wants to prove that local wisdom can provide added value and could even be used as a fundamental factor for sustainable development. The subject of study is the cultural industries. It is said, cultural industries that have cultural values are an important component and it contains the strength of narration of the output. The investigation is carried out by exploring local wisdom-based economic activities, access to labor, and social sustainability to show that the value of local wisdom as an identity can realize a sustainable economy in a rural area. In-depth interviews and observations with an ethnography approach to the case study method conducted in Tigawasa Village, Buleleng. This village is Bali Aga Village, home of Bali Mula or Bali’s original people, the earliest inhabitants of the island, which have local wisdom of bamboo.
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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 | 0.008 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| 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".