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Record W1907796726 · doi:10.21083/csieci.v9i2.2204

Living With the I-Word: Improvisation and its Alternates

2014· article· en· W1907796726 on OpenAlexvenueno aff
Robert Labaree

Bibliographic record

VenueCritical Studies in Improvisation / Études critiques en improvisation · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsImprovisationPerforming artsPeriod (music)LiteraturePoeticsScholarshipJazzCounterpointMusicalPoetrySingingHistoryLinguisticsArtAestheticsVisual artsSociologyPhilosophy

Abstract

fetched live from OpenAlex

The word improvisation is burdened with limitations placed on it by changes occurring in Europe in the 19th century, the period when the model of the hyphenated performer-composer prevailing in Europe up to that point was being split into two specialties. By the 20th century, composition and improvisation had been cast in bronze as mutually defining opposites, the presumed starting point of any approach to how music is made and heard, regardless of historical period or cultural origin. As a way of creating a more critical approach to discourse dependent on the ubiquitous "I-word," this essay seeks to problematize it by focusing on the more general concept of variability itself, or mouvance, as the French literary scholar Paul Zumthor described it in his studies of medieval lyric poetry. More than a century of scholarship on the music of Chopin, the songs of the medieval troubadours, folk music of the British Isles and Balkans, and Turkish classical music—all repertoires which do not rely on the conventions of I-discourse—will provide examples of differing levels of tolerance for performer control of musical events, of different definitions of musicianship, and of different performance poetics. Reflex jazz-related I-genres intentionally play no role in this exercise, forcing us to reflect on I-qualities where we least expect to find them and thus to re-examine our dependence on the I-concept in our thinking about the full spectrum of music-making. None of the I-alternates offered here—musicianship, mouvance, control, variability, or poetics—can be considered competitors for the I-word’s universalizing pretensions, but rather offer insight into what I believe is the I-word’s real content.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.723
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.053
GPT teacher head0.320
Teacher spread0.268 · 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 designTheoretical or conceptual
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

Citations3
Published2014
Admission routes1
Has abstractyes

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