Bibliographic record
Abstract
Il y a maintenant 50 ans que la smcq nous présente la « musique d’aujourd’hui », et presque aussi longtemps que des voix s’élèvent pour se plaindre d’un « goût du jour » qui n’est pas le leur. Examinant quelques-unes des critiques tenues à l’égard de la smcq au cours des ans et cédant la parole à son directeur artistique Walter Boudreau, rencontré lors d’un entretien, l’auteur démontre que le mandat de l’institution a évolué depuis sa fondation : les ensembles consacrés au genre se sont multipliés à sa suite, le bassin de compositeurs a connu un développement exponentiel, et il convient maintenant d’entretenir le répertoire que l’on mettait au monde dans les années 1960, en veillant bien sûr à ne pas négliger les nouvelles voix. En examinant les concerts de la 51e saison de la société (2016-2017), on découvre comment Boudreau parvient à s’acquitter de cette tâche.
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 | 0.006 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.011 |
| Scholarly communication | 0.014 | 0.012 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.033 | 0.007 |
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".