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Record W1745548303 · doi:10.21083/csieci.v7i1.1363

Pushing at Boundaries: The Path of a Brazilian Instrumentalist

2011· article· en· W1745548303 on OpenAlexvenueno aff
Cliff Korman

Bibliographic record

VenueCritical Studies in Improvisation / Études critiques en improvisation · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsImprovisationAestheticsInstrumentalismInnovatorCreativityPremiseVisual artsFlexibility (engineering)PsychologySociologyArtSocial psychologyManagementEpistemologyPolitical scienceEntrepreneurshipLawPhilosophy

Abstract

fetched live from OpenAlex

Over the course of his career as instrumentalist, composer, and arranger, Paulo Moura participated in, contributed to, and initiated some of the most influential movements of Brazilian popular music. His ability to perform at the highest level of proficiency in a wide range of styles and genres demonstrated the flexibility and scope of a professional urban musician; his commitment to creativity, transformation, and improvisation revealed the mind of an innovator, visionary, and master. In this eulogy, pianist Cliff Korman, one of Moura’s duo partners, considers elements of Moura’s artistic and aesthetic motivation, his commitment to improvisation as an underlying premise of popular music, and the path he forged to eventual mastery. In a look at their last presentation, accompanied by reference to supplementary video clips, Korman offers a descriptive analysis of their approach to preparation and performance and contemplates Moura’s evolving definition of improvisation.

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)0.010
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.042
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0300.053
Scholarly communication0.0110.008
Open science0.0020.014
Research integrity0.0050.007
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 head0.131
GPT teacher head0.389
Teacher spread0.258 · 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 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

Citations0
Published2011
Admission routes1
Has abstractyes

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