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Record W2032471510 · doi:10.3917/musur.132.0079

Les Trois mélodies pour le violoncelle avec accompagnement d'orgue expressif dédiées au Marquis de Corberon par Alexandre-Pierre-François Boëly

2014· article· fr· W2032471510 on OpenAlexaff
Florence Gétreau, Sarre Nicolas

Bibliographic record

VenueMusurgia · 2014
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Nous avons retrouvé le manuscrit autographe et inédit de ces Trois mélodies pour le violoncelle avec accompagnement d’orgue expressif dédiées au Marquis de Corberon dans le matériel d’orchestre de la Société de Musique d’Autrefois (musée de la Musique). Nicolas Sarre retrace ici la biographie complète du dédicataire, le marquis Daniel-Jean-Charles Bourrée de Corberon (1780-1868), amateur fort en vue dont le précieux violoncelle de Stradivari est conservé à la Royal Academy of Music. Nous proposons ensuite d’identifier le modèle d’orgue expressif qui fut probablement utilisé par cet amateur durant ces décennies où les instruments expressifs font l’objet de nombreux brevets. Enfin nous montrons comment ces trois mélodies sont des « auto-transcriptions » de trois œuvres antérieures de Boëly écrites pour orgue d’église. Elles trouvent ici une nouvelle vocation dans le contexte d’une musique de salon pleine de sensibilité et de charme.

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)0.002
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 score0.032
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0190.003

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 head0.222
Teacher spread0.200 · 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
Published2014
Admission routes1
Has abstractyes

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