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Branca, Glenn (1948--)

2018· book-chapter· en· W4240930740 on OpenAlexaff
Patrick Nickleson

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSymphonyArtPerformance artArt historyCriticismStyle (visual arts)GuitarLiteraturePhysicsAcoustics

Abstract

fetched live from OpenAlex

Glenn Branca (b. Harrisburg, Pennsylvania, 1948) is an American composer noted for his works for massed electric guitars. Branca began his compositional career in New York after working in theatre in Boston. With his first two bands, The Static and Theoretical Girls, he began combining avant-garde art music with the No Wave scene of late 1970s New York. Following these early experiments, Branca started his own ensemble—which over the years included members of the rock bands Sonic Youth, Swans, and Helmet—for his albums Lesson No. 1 and The Ascension. His works are heavily influenced by the esoteric tuning theories of Hermann von Helmholtz, Dane Rudhyar, Hans Kayser, and Harry Partch. From these writers and his own early experiments, Branca developed a compositional style that utilized the clashing of high harmonics at extreme volumes to create an effect that is often described as ecstatic. While his use of the term ‘symphony’ to describe his large-scale works drew criticism earlier in his career, he has become an extremely prolific writer in that genre; his Symphony No. 15: Running Through the World Like an Open Razor (for strange orchestra) premiered at New York’s Le Poisson Rouge in November 2010.

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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.041
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.003
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0410.015

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 head0.046
GPT teacher head0.207
Teacher spread0.161 · 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
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

Citations0
Published2018
Admission routes1
Has abstractyes

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