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Record W2794863263 · doi:10.21083/csieci.v12i1.3752

Contribution Towards an Ethics of Listening: An Improvising Musician’s Perspective

2018· article· en· W2794863263 on OpenAlexvenueno aff
Simon Waters

Bibliographic record

VenueCritical Studies in Improvisation / Études critiques en improvisation · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsnot available
Fundersnot available
KeywordsImprovisationActive listeningEmpathyPerspective (graphical)Ideal (ethics)Context (archaeology)AestheticsSociologyPsychologyEpistemologySocial psychologyCommunicationVisual artsArtHistoryPhilosophy

Abstract

fetched live from OpenAlex

The practice of “free-improvised” music would seem to present a privileged site for the study of contingent relations: a world in which individuals dynamically adapt within a network of conduct which constitutes its own meaningfulness; in which sound and touch seem co-extensive. This would seem to be an ideal context for the discovery of empathic and ethical behavior. It is argued here, however, that “doing” empathy is in itself improvisatory, and that improvising can thus be placed centre-stage as an essential adapting and organizing skill, rather than a peripheral or abstruse “aesthetic” conduct.

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)0.006
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0090.081
Scholarly communication0.0120.011
Open science0.0020.007
Research integrity0.0080.010
Insufficient payload (model declined to judge)0.0060.001

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 head0.172
GPT teacher head0.435
Teacher spread0.263 · 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 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

Citations2
Published2018
Admission routes1
Has abstractyes

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