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Record W2745258745 · doi:10.5539/ach.v9n2p71

The Role of Mantra in Theater Makyong

2017· article· en· W2745258745 on OpenAlexvenueno aff
Tety Kurmalasari, Abdul Rahim Hamdan, Satria Agust

Bibliographic record

VenueAsian Culture and History · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCultural and Artistic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSpellCeremonyMantraSociologyHistoryPhilosophyArchaeologyLinguistics

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.954
Threshold uncertainty score0.929

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.017
GPT teacher head0.255
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations1
Published2017
Admission routes1
Has abstractyes

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