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Record W2530875525 · doi:10.1017/cbo9781316584965

Performance Practice in the Music of Steve Reich

2016· book· en· W2530875525 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCambridge University Press eBooks · 2016
Typebook
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsRhythmPerforming artsJazzMusicVisual artsClassical musicContemporary classical musicPerformance artMusic historyArtPeriod (music)Performance practicePercussionPopular musicMusical compositionMusicalMusic educationLiteratureAestheticsArt historyAcoustics

Abstract

fetched live from OpenAlex

Performance Practice in the Music of Steve Reich provides a performer's perspective on Steve Reich's compositions from his iconic minimalist work, Drumming, to his masterpiece, Music for 18 Musicians. It addresses performance issues encountered by the musicians in Reich's original ensemble and the techniques they developed to bring his compositions to life. Drawing comparisons with West African drumming and other non-Western music, the book highlights ideas that are helpful in the understanding and performance of rhythm in all pulse-based music. Through conversations and interviews with the author, Reich discusses his percussion background and his thoughts about rhythm in relation to the music of Ghana, Bali, India, and jazz. He explains how he used rhythm in his early compositions, the time feel he wants in his music, the kind of performer who seems to be drawn to his music, and the way perceptual and metrical ambiguity create interest in repetitive music.

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.

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: Other
Teacher disagreement score0.739
Threshold uncertainty score0.580

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.033
GPT teacher head0.199
Teacher spread0.166 · 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