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Record W2590201800 · doi:10.31851/sitakara.v1i1.705

LATAR BELAKANG KESENIMANAN DAN KARYA-KARYA M. RASYID

2016· article· id· W2590201800 on OpenAlexaff
Treny Hera

Bibliographic record

VenueJurnal Sitakara · 2016
Typearticle
Languageid
FieldSocial Sciences
TopicCultural and Artistic Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

AbstrakRasyid adalah koreografer di Kabupaten Muara Enim Sumatera Selatan, keinginan akan hal-hal yang indah merupakan hasrat hidup yang pemenuhannya menunggu sampai hasratnya terpenuhi, memberikan ruang untuk selalu berpikir untuk selalu menciptakan hal baru, berimajinasi hingga terbentuk konsep garapan baru, dan mengapresiasikan semua yang ada di dalam kepala menjadi sebuah ide baru dan ide kreatif dalam berkarya. Rasyid adalah seseorang yang menyukai hal-hal yang baru tetapi ia juga sangat menghargai dan menjaga tradisi yang telah ada. Rasyid beranggapan masa depan dan masa kini berawal dari masa lalu, ide kreatif, imajinasi ia dapatkan dari tradisi yang telah ada kemudian dijadikan sesuatu yang baru agar tradisi tetap diminati oleh masyarakat banyak dalam kemasan yang lebih menarik. Seorang koreografer yang handal adalah jika ia memiliki motivasi yang tinggi dalam menciptakan karya dan menghasilkan sebuah entitas yang unik, kaya, menarik dan dapat memberikan rangsangan-rangsangan kepada penikmat agar ikut berimajinasi dan sajian karya dalam kemasan yang menarik.Kata Kunci: Seni, Seniman.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0200.012

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 head0.031
GPT teacher head0.285
Teacher spread0.253 · 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 designNot applicable
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

Citations0
Published2016
Admission routes1
Has abstractyes

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