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Record W2151742664 · doi:10.21083/csieci.v3i1.243

Voicing Silence: The Legend of Buddy Bolden

2007· article· en· W2151742664 on OpenAlexaffvenue
John and Joanne Saul

Bibliographic record

VenueCritical Studies in Improvisation / Études critiques en improvisation · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsYork University
Fundersnot available
KeywordsImprovisationJazzSilenceLegendPower (physics)HistoryVoiceAestheticsArtVisual artsLiteratureLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

This article focuses on the legendary Buddy Bolden, a putative godfather of jazz improvisation in the very earliest days of jazz-like music–making in New Orleans. We first seek to position him both within the New Orleans of his time and within the broader tradition of jazz’ development to which he is deemed to have made such a singular contribution. But we soon discover that, despite his legendary status, we have in fact no aural record of Bolden’s actual playing and only fragmentary, often contradictory, accounts of his life. It becomes necessary to “improvise the improvisor” – to, in effect, give voice to Bolden’s silence. We then examine several efforts to imagine Bolden both as player and as person: by Michael Ondaatje, on the printed page, in his highly regarded “novel” Coming Through Slaughter and on disk, aurally, by players like Jerry Granelli and Malachi Thompson. We conclude that Bolden’s rather shadowy person and performance make him especially available, in both song and story, for the kinds of improvisation of person we have pinpointed. Indeed, this may again prove true as those in post-Katrina New Orleans who may wish to rebuild the city in the terms of its own history find they must once more “talk back” to power, to those who now choose merely to further (in Mike Davis’ chilling phrase) the “killing of New Orleans.”

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.733
Threshold uncertainty score0.837

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
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 head0.113
GPT teacher head0.388
Teacher spread0.275 · 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.

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

Citations1
Published2007
Admission routes2
Has abstractyes

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