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Record W4379134952 · doi:10.51804/deskovi.v5i1.1767

Sonata for Piano no. 1 op. 22 Bagian IV oleh Alberto Ginastera dalam Kajian Musikologi

2022· article· id· W4379134952 on OpenAlexaff
Moh. Robin Sandi, Erita Rohana Sitorus, Sukatmi Susantina

Bibliographic record

VenueDeskovi Art and Design Journal · 2022
Typearticle
Languageid
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Studi ini membahas analisis bentuk, motif dan teknik permainan pada Sonata for Piano No. 1 Op. 22 bagian IV karya Alberto Ginastera. Penelitian sebelumnya yang ditulis Y. Lin yang membahas sonata terkait hanya berfokus pada wilayah teknik dan menggunakan subjek dari pianis Eropa. Sedangkan penelitian ini tidak hanya berfokus pada teknik sebagai kajian utamanya melainkan juga melakukan analisis struktur dan bentuk. Penelitian ini menggunakan metode kualitatif dan menjelaskannya kedalam bentuk deskriptif. Masalah utama pada Sonata terkait dari segi teknik yaitu, teknik Jumping dimana pada teknik tersebut jarak lompatannya sangat jauh yang membutuhkan keterampilan tinggi. Penelitian ini dilakukan dengan analisis bentuk, motif dan teknik, serta memberikan solusi bagaimana cara melatih teknik-teknik yang terdapat pada sonata terkait. Penelitian ini menemukan bahwa pada Sonata terkait menggunakan bentuk Rondo jenis ketiga yaitu, A-B-C-A’B’- A’’B’’. Sedangkan pada motif ditemukan tujuh motif yang terdapat pada Sonata terkait. Pada teknik permainan terdapat setidaknya 5 jenis teknik permainan. Teknik-teknik tersebut adalah: (1) Tangga nada, (2) Kromatis, (3) Jumping, (4) Oktaf, (5) Block chord.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.790
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.242
Teacher spread0.210 · 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.

Study designNot applicable
Domainnot available
GenreMethods

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
Published2022
Admission routes1
Has abstractyes

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