Bibliographic record
Abstract
Les illustrations de ce numro consistent en des photographies d'archives de la . S'agissant de souligner le e anniversaire de cet organisme vou la cration musicale depuis , nous avons choisi photographies. noter toutefois qu'il ne s'agit pas systmatiquement d'une image par saison artistique, car toutes les saisons ne sont pas documentes, tandis que d'autres le sont abondamment. Nous obtenons ainsi une sorte de scrapbook dont le parcours, dispos chronologiquement, correspond une vritable traverse de l'histoire de cette socit. Certaines de ces images font d'ailleurs cho, plus ou moins subtilement, au contenu ou aux auteurs des articles du numro. Si ce orilge a t choisi par le rdacteur en chef, c'est Nomie Pascal -musicologue et adjointe la direction gnrale de la -qui en a rdig toutes les lgendes. Nous la remercions vivement. Ces photographies concernent non seulement des concerts, mais aussi des runions, des vnements festifs, des tournes et des rptitions, par exemple. Bien entendu, les saisons rgulires occupent beaucoup de place, mais des photographies proviennent
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.001 | 0.007 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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; both teacher heads agree on what is shown here.
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".