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Ellington’s Dark Lady

2010· book-chapter· en· W58639895 on OpenAlexaboutno aff

Bibliographic record

VenuePalgrave Macmillan US eBooks · 2010
Typebook-chapter
Languageen
FieldArts and Humanities
TopicTheater, Performance, and Music History
Canadian institutionsnot available
Fundersnot available
KeywordsJazzThunderArtMusicalArt historyPerformance artStyle (visual arts)Visual artsEngineering

Abstract

fetched live from OpenAlex

Such Sweet Thunder, Duke Ellington’s 1957 suite of twelve musical vignettes based on Shakespearean themes, is a landmark of adaptation of Shakespeare to contemporary popular styles. Written after Ellington played at the Stratford Shakespeare Festival in Canada, hard on the heels of his triumphant comeback at the Newport Jazz Festival in 1956, Such Sweet Thunder seeks to consolidate Ellington’s status as a “popular classic” artist by suggesting affinities between his own art and Shakespeare’s, as I have previously argued (see Lanier). It self-consciously pushes against the way Shakespeare had been used in nineteenth-century minstrel shows to ridicule the cultural aspirations of black performers and, by extension, black art. What is more, Such Sweet Thunder inaugurated a dominant concern in Ellington’s late compositional career: showing points of contact between jazz and many other cultural idioms and subjects. Ellington sought to demonstrate the potential for jazz, a quintessentially African-American idiom, to be a cosmopolitan lingua franca that extends well beyond its humble and once-denigrated roots. This view of Such Sweet Thunder is decidedly not universally shared by Ellington scholars and fans. One widely-held perspective on Ellington’s career remains that the high-water mark of his work was the early 1940s, when his band was filled with his most famous players, and Billy Strayhorn, Ellington’s longtime collaborator, contributed some of his most memorable tunes and arrangements. Judged against this period in Ellington’s output, many argue, most of his later suites seem collections of lesser quality music, long-winded, pretentious, unmemorable, or recycled exercises in Ellington’s signature style. Indeed, some critics complain that the themes that unified the later suites sometimes ran no deeper than Ellington’s witty song titles. Ellington’s suites, then, raise two related issues that bear upon the cultural ambitions of his later career: how genuinely unified are the suites? And how profound is Ellington’s engagement with the cultures his extended works purport to take up?

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)0.000
metaresearch head score (Gemma)0.001
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.040
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0130.003
Scholarly communication0.0040.002
Open science0.0000.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0330.005

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 head0.022
GPT teacher head0.203
Teacher spread0.182 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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