À propos de Echo de Jean-Pascal Chaigne, oeuvre créée dans le cadre du projet de recherche « Perspectives actuelles de la musique polychorale »1
Bibliographic record
Abstract
Le 22 janvier 2020 s’est tenu à Genève le premier laboratoire du projet de recherche en création « Perspectives actuelles de la musique polychorale », réunissant notamment des étudiants de la Haute école de musique (hem) de Genève et l’ensemble Contrechamps. Jean-Pascal Chaigne, compositeur, professeur à la hem et responsable du projet, présente les résultats de sa recherche tels qu’ils se concrétisent dans sa pièce Echo, composée à cette occasion. Après avoir expliqué en quoi l’écriture polyphonique de Giovanni Gabrieli et son rapport spécifique au timbre ont inspiré un tel projet, il détaille les procédés de sa partition qui trouvent leur origine dans la musique polychorale vénitienne du xvie siècle : en l’occurrence, les propositions de diminutions ainsi que les différentes formes de polychoralité que l’on rencontre dans Echo.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.016 | 0.005 |
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".