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Record W3046122020 · doi:10.51804/ijsd.v2i2.741

COPY PASTE VIDEO TEATER SAE DALAM KERJA POLITICAL DRAMATURGY DAN REENACTMENT DALAM KERJA SUTRADARA

2020· article· id· W3046122020 on OpenAlexfundno aff
Hoirul Hafifi

Bibliographic record

VenueIkonik Jurnal Seni dan Desain · 2020
Typearticle
Languageid
FieldSocial Sciences
TopicCultural and Artistic Studies
Canadian institutionsnot available
FundersQueen's UniversityMcGill UniversityWayne State University
KeywordsDramaturgyArtArt historyHumanitiesVisual arts

Abstract

fetched live from OpenAlex

Artikel ini membahas copy paste video Teater Sae yang dilakukan Artery Performa pada senin, 8 Juli 2019 di Graha Bakti Budaya, Taman Ismail Marzuki dalam Djakarta Teater Platform merupakan cara kerja dramaturgi baru, yang mendudukkan kerja operasi sistem gagasan ke atas panggung merupakan kerja riset terhadap hubungan gambar dan estetika yang sudah menjadi arsip dalam tataran sinematografinya, maunpun reenactment dalam kerja penyutradaraan. Bukan kerja bentuk yang sama persis dengan video; tetapi lebih kepada usaha pencapaian dalam memberikan spektrum kerja performativitas yang berlapis-lapis antara arsip dan medium, antara estetika dan teknologi, juga perbedaan kodifikasi makna berdasarkan konteks arsip. Selain itu, konteksnya bagaimana memperlakukan video dokumenter yang di-copy paste dalam analisis teks, makna, dari aktor-aktor masa lalu ke arah tekstual hari ini yang bisa memiliki perbedaan dan persamaan dari beragam perspektif, termasuk pada ranah politik dalam Teater Sae, yang muaranya dilakukan oleh Dendi Madiya dalam Political Dramaturgy.This article discusses copy paste of Teater Sae video conducted by Artery Performa on Monday, July 8, 2019 at Graha Bakti Budaya, Taman Ismail Marzuki in Djakarta Theater Platform is a new dramaturgy way of working, which puts the work of the idea system operation on stage is a research work on the relationship pictures and aesthetics that have become archives in the cinematographic level, and reenactment in directing work. Not working the exact same shape as the video; but rather the effort to achieve in providing a spectrum of work performance in layers between the archive and the medium, between aesthetics and technology, as well as differences in the codification of meaning based on the context of the archive. In addition, the context is how to treat documentary videos that are copied and pasted in the analysis of texts, meanings, from past actors in the textual direction today that can have differences and similarities from various perspectives, including in the political sphere in the Sae Theater, which is done by Dendi Madiya in Political Dramaturgy.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.299
Threshold uncertainty score1.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0070.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.2990.073

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 head0.032
GPT teacher head0.281
Teacher spread0.249 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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

Citations2
Published2020
Admission routes1
Has abstractyes

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