Bibliographic record
Abstract
Cet article examine le rôle jusqu’alors non reconnu joué par les expérimentateurs américains dans l’histoire de la musique spectrale, en considérant les relations entre Edgard Varèse, John Cage, Morton Feldman et James Tenney, et qu’ils entretenaient avec Jean-Claude Risset, François Bayle, Hugues Dufourt et Gérard Grisey. L’exploration historiographique, qui s’appuie sur une correspondance inédite, suggère que l’attitude spectrale est apparue simultanément des deux côtés de l’Atlantique dans les années 1970, à partir de sources et de géniteurs communs ; son émergence peut être attribuée en partie à l’étendue de l’influence de Varèse, qui a été bien démontrée, ainsi qu’à la portée des innovations de Tenney, qui ne l’a pas été. L’influence de Feldman, largement absente des études antérieures sur Tenney et la musique spectrale, est réexaminée. Malgré leurs points de vue communs sur la musique, c’est Feldman qui a ardemment défendu la reconnaissance d’une tradition musicale expérimentale désormais indissociable de l’Europe ou de l’Amérique. Si Tenney partageait en privé la position de Feldman, il a finalement adopté une position isolationniste, occultant cette histoire.
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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.016 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".