The Role of Mantra in Theater Makyong
Bibliographic record
Abstract
The research is based on the study of literature. The problem of this research was uses of the spell in theater makyong. The study of uses of the spell in theater makyong is assumed so interesting, because until now theater makyong has still been using spell used by the Panjak chairman to chase away the evil and averse evil before the show begins which is well-known as the ceremony of the"discard wet" or "open land". The spell in theater makyong consists of swearing, the evil, and averse evil spells related to ceremonies open land or discard wet, installing fabric spell, advanced series spell, make-up spell, perindang voice spell and pembungkam (speechless) spell. The sources of the data in this research were obtained from litelature and the Tanjungpinang Art Conservatory Foundation which has kept preserving Theater Makyong till now. The technique of collecting data was done by using the observation technique, interview, and recording elicited from the Panjak chairman, especially about the spell. The data were analyzed by using the collecting data technique. Relating to the research findings, there were seven spells associated with the stage opening ceremony and wet soil or waste opening ceremony and five spells associated with inner preparations existing in theater makyong. The use or the role of spell was as a protection.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".