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Record W2085339520 · doi:10.7202/1014300ar

From Point to Sphere: Spatial Organization of Sound in Contemporary Music (after 1950)

2013· article· en· W2085339520 on OpenAlexvenueno aff
Maria Anna Harley

Bibliographic record

VenueCanadian University Music Review · 2013
Typearticle
Languageen
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSpatializationElectroacoustic musicMusicalSound qualityElectronic musicComputer scienceAcousticsArtVisual artsSpeech recognition

Abstract

fetched live from OpenAlex

In this study of spatial organization of sound, that is of "spatialization" in music, the term "spatial" refers to the three-dimensional performance space, not to pitch. "Spatialized music," distinct both from polychoral music and from musical theatre, means music with quasi-spatial structure defined by the composer in the score or in another medium of sound coding (digital or analog recording, specific software). Spatialization includes ensemble dispersion, movement of sounds, performers and audience, juxtaposition and interaction of real and virtual sound sources – every situation in which the position of the sound sources and the acoustic quality of the performance space are given compositional significance. A classification of spatial designs in music is followed by examples illustrating three aspects of spatialization: (1) the expression or simulation of geometrical patterns in music, (2) the movement of sound, (3) the symbolic function of spatial designs and movement. Musical examples and graphs of performer placement are taken from Henry Brant's Millenium II (1954), Karlheinz Stockhausen's Gruppen für drei Orchester (1955-57), Iannis Xenakis's Terrêtektorh (1965-66) and John Tavener's Ultimos Ritos (1972).

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)0.002
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 score0.066
Threshold uncertainty score0.132

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0030.025
Scholarly communication0.0060.006
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.021
GPT teacher head0.190
Teacher spread0.169 · 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

Citations13
Published2013
Admission routes1
Has abstractyes

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Same venueCanadian University Music ReviewSame topicMusic Technology and Sound StudiesFrench-language works237,207