Bibliographic record
Abstract
Partir d’un double constat : 1) la musique est une pratique du lieu qui pourtant 2) s’en échappe dès que possible par la trivialité de l’excuse, au sens de mise hors de cause – grosso modo la situation ne serait jamais appropriée. Partant, comment rester ici quand tous les moyens sont bons pour s’en sortir ? De là, questionner la différence entre composition et improvisation à l’aune de cette accusation de fuir les circonstances à tout bout de champ, en construisant l’analogie hypothétique suivante : l’improvisation est à la composition ce que la science-fiction ou l’anticipation est à l’utopie. Et aboutir finalement à ceci que moins l’excuse est possible plus la musique a lieu. Ou encore, rendre une musique possible peut revenir à se frayer une ligne entre les excuses. Ces méditations sont d’abord issues du grand nombre de discussions que j’ai pu avoir avant, pendant, ou après tel ou tel concert ; ce texte en garde la forme dialoguée tout en pariant qu’un impersonnel s’en dégage.
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.025 |
| Scholarly communication | 0.010 | 0.013 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.021 | 0.004 |
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".