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Record W2762291370 · doi:10.1093/ml/gcx031

Parisian Music-Hall Ballet, 1871–1913. By Sarah Gutsche-Miller.

2017· article· en· W2762291370 on OpenAlexaboutno aff
Helena Kopchick Spencer

Bibliographic record

VenueMusic and Letters · 2017
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsnot available
Fundersnot available
KeywordsBalletArtDanceClassical balletArt historyNationalismHistoryLiterature

Abstract

fetched live from OpenAlex

The fate of French ballet in the nineteenth century is a familiar story: following a golden age of Romantic ballet-pantomime at the Paris Opéra—a creative era that included such imaginative works as La Sylphide, Giselle, Le Corsaire, and Coppélia—French ballet suffered a period of stagnation and decline until Sergei Diaghilev’s Ballets Russes conquered Paris in a flash of brilliant colour, with glamorous and transgressive productions that reinvigorated French ballet culture and restored it to its former glory. Or so the conventional histories of ballet would have us believe. The mythic narrative of the Ballets Russes’s redemption of a moribund art form has long been propagated by dance scholars and cultural historians. Tellingly, Jennifer Homans’s best-selling survey of ballet history (Apollo’s Angels (New York, 2010)) features the section heading ‘Part Two: Light from the East’, and in a recent study of early twentieth-century French ballet as a testing ground for emerging ideologies of nationalism, modernism, and gender identity, Ilyana Karthas alleges that the arrival of the Ballets Russes inspired a ‘new fervour for ballet’ among Parisians, who had essentially lost interest in the genre (When Ballet Became French (Montreal, 2015), 303). A notable exception is Jane Pritchard, who has criticized traditional ‘masterworks’ histories that readily shift from the premiere of Coppélia in Paris, 1870, to the ballets of Marius Petipa in late nineteenth-century Russia (‘Collaborative Creations for the Alhambra and the Empire’, Dance Chronicle, 24 1 (2001), 55–82).

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.221
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.034
GPT teacher head0.271
Teacher spread0.237 · 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 designNot applicable
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
Published2017
Admission routes1
Has abstractyes

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