Bibliographic record
Abstract
On November 6, 1979, Vivier arrived in France at the beginning of a month-long stay in Europe. The exact purpose of his visit remains unknown, though he would surely have been glad to escape the Quebec winter for a few weeks; and although the visit was not tied to any performances of his music there, it may well have had the aim of promoting some. After a few days in France, a card postmarked November 15 to his Montreal friend Thérèse Desjardins announced his arrival in Germany: “Finally Cologne—and also what you read for me in the cards! The pieces of mine that are the most appreciated here are those that are the least appreciated in Montreal! Anyway, some pieces of mine will be played in Paris and in Cologne.” (Regarding what the cards had said, Desjardins recalls: “We always did card-reading in the family. I did it very often with Claude. … the cards often ‘spoke’ and Claude’s said that the future of his music was somewhere else than Quebec!!! I used the cards to encourage him to go and work in Europe. A game, but one that he really liked.”) In Cologne he recorded a radio program about Canadian music. From there he went to Holland; his passport was stamped in Arnhem on November 18. He gave a seminar at his old stomping ground, the Institute of Sonology in Utrecht, talking about some recent works, including Journal , the most recent large-scale work of his to have been performed. He was back in Montreal on December 7. Vivier’s trip to Europe that autumn, and particularly the days he spent in Paris, was to transform his musical language. Frustratingly, it is impossible to verify whether he actually met with Grisey or Murail (though it seems from the conversation with Walter Boudreau about Orion that he expected to); by 1979 he was relatively out of touch with their recent music, and his renewed encounter with it had the spirit of a new discovery. Whether in conversation, or from the brief flipping through the pages of some of their scores, he came upon the technical idea that, in retrospect, can be seen to be exactly the technique he was looking for, the idea that made possible the composition of the majority of his own works from that point forward. The technique goes by different names.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.079 | 0.027 |
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".