MétaCan
Menu
← Back to cohort
Record W17762354 · doi:10.71781/4364

L’élaboration d’un langage musical basé sur la musique traditionnelle québécoise et influencé par les musiques savantes

2009· dissertation· fr· W17762354 on OpenAlexaboutno aff
Marc Maziade

Bibliographic record

Venuenot available
Typedissertation
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

Le présent travail explique et approfondit la démarche artistique d’un compositeur travaillant à partir de la musique traditionnelle québécoise et cherchant à donner un élan à son travail en s’inspirant des musiques savantes. Il est divisé en trois chapitres dans lesquels on retrouve des analyses détaillées de pièces issues du répertoire traditionnel québécois et des répertoires classique et jazz. Le premier chapitre traite d’œuvres de Joseph Allard, Louis « Pitou » Boudreault, Jos Bouchard et Aimé Gagnon en cherchant à préciser les éléments stylistiques qui caractérisent le style d’ici. Le deuxième chapitre analyse les pièces Stolen Moments d’Oliver Nelson et Waltz for Debby de Bill Evans et explore un jazz en équilibre entre conservatisme et innovation. Le troisième chapitre explore deux approches originales à la modalité dans des musiques riches en variations par l’analyse de Pagodes de Claude Debussy et de Ostinato de Béla Bartók. Le quatrième chapitre expose ma démarche.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.523
Threshold uncertainty score0.947

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0090.007
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0210.002

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 head0.013
GPT teacher head0.236
Teacher spread0.223 · 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
Published2009
Admission routes1
Has abstractyes

Explore more

Same topicCanadian Identity and History→French-language works237,207→