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Record W1570824603 · doi:10.21083/csieci.v6i2.1332

“See clearly … feel deeply”: Improvisation and Transformation: John McLaughlin Interviewed by Daniel Fischlin

2010· article· en· W1570824603 on OpenAlexaffvenue
Daniel Fischlin

Bibliographic record

VenueCritical Studies in Improvisation / Études critiques en improvisation · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsImprovisationMusicalCrucible (geodemography)MeditationSpiritualityOperaArtVisual artsHistoryLiteratureArt historySociologyMedicine

Abstract

fetched live from OpenAlex

On the cusp of a North American concert tour in late 2010 and hot off the release of To the One, his musical meditation on Coltrane’s “A Love Supreme” and his own lifelong spirit-quest, celebrated guitarist John McLaughlin agreed to a CSI request for an interview focusing on improvisation and spirituality. In addition to being a prodigious musician in every respect, McLaughlin has had an exceptional, if not unparalleled, trajectory through the crucible of twentieth and now twenty-first century music.

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)0.004
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.072
Threshold uncertainty score0.142

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0300.036
Scholarly communication0.0100.008
Open science0.0020.005
Research integrity0.0060.011
Insufficient payload (model declined to judge)0.0040.000

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 head0.051
GPT teacher head0.337
Teacher spread0.286 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations11
Published2010
Admission routes2
Has abstractyes

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