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Record W4386599452 · doi:10.4000/books.psn.8230

“Musicke in some ten languages” : les musiques du diable dans le théâtre élisabéthain

2003· book-chapter· fr· W4386599452 on OpenAlexaff
Claire Balderman

Bibliographic record

VenuePresses Sorbonne Nouvelle eBooks · 2003
Typebook-chapter
Languagefr
FieldSocial Sciences
TopicHistorical and Literary Studies
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsArtDramaAmbivalenceLiteratureVisual artsHumanitiesPsychologySocial psychology

Abstract

fetched live from OpenAlex

The devil’s music in Elizabethan drama is a highly ambivalent one. The devil is an outstanding musician able to produce very melodious vocal and instrumental music, but he is also associated with characteristic cacophonies and with such “lewd” dances as the antic, coranto or volta. Nevertheless, the music of the devil cannot be reduced to such cut-and-dried opposition, since its main feature is its polyvalence. Whatever the means, the end is always the same — incantare, i.e. to seduce or enchant by the means of music and song.

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)0.001
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.007
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.002
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 head0.019
GPT teacher head0.227
Teacher spread0.208 · 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
Published2003
Admission routes1
Has abstractyes

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