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Record W2191277088

Discussion About Darius Milhaud and His Work: Double Piano Cento Scaramouch

2015· article· en· W2191277088 on OpenAlexvenueno aff
Dengbin Gao

Bibliographic record

VenueCross-cultural communication · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPianoMovement (music)Musical formArtMusicalHumanitiesVisual artsLiteratureHistoryArt historyAesthetics
DOInot available

Abstract

fetched live from OpenAlex

Darius Milhaud is one of the most influential and productive composers in French during the twentieth century. In his nearly 60 years of music composing career, he created more than 400 pieces of works. Although he spent most of his life of 82 years in France, Brazil and United States served as two important windows for acquiring information from the outside world for him. He traveled back and forth between these three places in a cycle manner, that is, [A] France – [B] Brazil – [A1] France – [C] America – [A2] France, which can also be called a “cyclic” life experience. Milhaud’s double piano cento Scaramouch is one of the representative works in the double piano performing form, which is also very popular in our country’s piano field. Although it is a cento consisting of three movements, each movement has many similarities in the structure of musical form, such as the macro structure of each movement is all the compound ternary form, and the first section of which is all the simple binary form, and so on. The main factor that can be used to compare each movement is the music content.

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)0.003
metaresearch head score (Gemma)0.008
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.015
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0150.012
Scholarly communication0.0100.005
Open science0.0020.005
Research integrity0.0060.010
Insufficient payload (model declined to judge)0.0060.002

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 head0.071
GPT teacher head0.319
Teacher spread0.248 · 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
GenreCommentary

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

Citations1
Published2015
Admission routes1
Has abstractyes

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