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Record W1483884856 · doi:10.21083/csieci.v3i1.48

Improvisation & Identity: a Qualitative Study

2007· article· en· W1483884856 on OpenAlexvenueno aff
Matthew Sansom

Bibliographic record

VenueCritical Studies in Improvisation / Études critiques en improvisation · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsImprovisationDialecticIdentity (music)MusicalMeaning (existential)EpistemologyRepresentation (politics)Context (archaeology)AestheticsSociologyPsychologyArtVisual artsPhilosophy

Abstract

fetched live from OpenAlex

Drawing on qualitative analytic studies of improvising musicians this paper discusses ways in which the construction and representation of self-identity can be observed in improvisational practice. Focusing upon improvisation’s relational context and the characteristics and qualities of its interactions, a phenomenological and interpretive analysis is presented that explores the idea of musical meaning as an activity serving the construction and representation of identity. As a contribution to the now well-established challenge to musicology engendered by post-structuralist and post-modern thought, it explores musical meaning’s ontological significance through an analysis of the dialectical processes apparent in musical experience. Demonstrating a connection with processes that serve to define the self, as expressed in social theory and psychotherapeutic models, it becomes possible to better understand music, in particular creative musical experience, as a carrier of identity. As an alternative to a more structuralist semiotic agenda, this paper’s epistemological orientation seeks musical meaning in the experienced dynamics of the encounter.

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)0.006
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.375
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.003
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.198
GPT teacher head0.476
Teacher spread0.279 · 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 designQualitative
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

Citations12
Published2007
Admission routes1
Has abstractyes

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