Regeneration Strategy of Indonesian Wayang Kulit Artisans
Bibliographic record
Abstract
Since a long time ago, Butuh Hamlet has become a center for the wayang industry, which is the mainstay of Klaten Regency. However, currently, the wayang kulit (shadow puppet) craft home industry is experiencing many setbacks. The younger generation tends to choose to work in factories with a fixed salary rather than being a wayang craftsman with an irregular income. Children are also reluctant to learn tatah (carving) and sungging (painting). The problem that arises and needs to be solved is how to regenerate the wayang kulit craft industry, which has less and less interest among the younger generation. The research results and development with the 4-D Model produced iconic puppets, puppet learning modules, and puppet craftsman regeneration strategies. The new creation of an iconic puppet named Joko Tingkir represents of the closeness, spirit, and pride of the artisans in Butuh. The YouTube-based wayang learning module is a medium for transforming wayang skills from young artisans to anyone. The regeneration strategy for wayang kulit artisans was carried out through Seeding, Insight, and Empowerment activities aimed at preparing prospective successors so that the continuation of the puppet craft can be maintained. Keywords: Regeneration, craft, youth, sustainability, wayang kulit DOI: 10.7176/ADS/103-6 Publication date: February 28 th 2023
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".