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Record W1939314428 · doi:10.21083/csieci.v6i2.1020

“Patience, Sincerity, and Consistency”: Fred Anderson’s Musical and Social Practices

2010· article· en· W1939314428 on OpenAlexvenueno aff
Paul Steinbeck

Bibliographic record

VenueCritical Studies in Improvisation / Études critiques en improvisation · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsMusicalHonorJazzSincerityPerforming artsRealmTownsendGratitudeSymphonySociologySuperstarPsychologyAestheticsVisual artsArt historyArtSocial psychologyHistory

Abstract

fetched live from OpenAlex

The August 19, 2009 symposium held in honor of Chicago tenor saxophonist Fred Anderson, and the eightieth-birthday concert that took place the following evening, provided tangible representations of the acclaim and appreciation received by Anderson in his last years. Though Anderson was best known for his work as a performer, bandleader, and “gray eminence” on the international jazz and improvised-music scene, he was equally successful in the social realm as an educator, a community builder, and—critically—the steward of the Velvet Lounge nightclub, which he owned and operated from 1982 to 2010. In this article, I examine Anderson’s musical and social practices, demonstrating how he constructed inclusive, supportive spaces for multiple personal expression via musical sound and social interaction. I also consider the relationships between Anderson’s efforts and the goals of the Association for the Advancement of Creative Musicians (AACM), the African American artists’ collective that Anderson was affiliated with for more than four decades. The “data set” for this investigation includes the proceedings of the above-mentioned symposium, my own interviews with Anderson, and analyses of his compositions, performances, and music-theoretical discoveries.

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)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
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 score0.715
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.116
GPT teacher head0.372
Teacher spread0.257 · 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
Published2010
Admission routes1
Has abstractyes

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