Processus compositionnel (mélodie, polyrythmie et polytonalité initialement improvisées) et orchestration : une analyse des cinq pièces composées à la maîtrise
Bibliographic record
Abstract
Le présent mémoire propose une analyse des processus de composition via la mélodie, la polytonalité et la polyrythmie à travers l’improvisation pianistique, pour finir par l’orchestration des cinq pièces musicales composées durant les deux années de la maîtrise en composition instrumentale et vocale à l’Université de Montréal, soit de septembre 2017 à avril 2019. Ces pièces sont un Sextuor, un Octuor, un Mouvement pour deux pianos et percussions, 5 Miniatures pour orchestre et Tristesse de la lune, une mélodie sur un poème de Charles Baudelaire, l’ensemble totalisant 33 minutes de musique. Nous tentons de situer dans un contexte général la place de ces processus à travers les différentes références de l’auteur pour ouvrir le champ des possibilités qu’ils amènent pour le futur.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".