Bibliographic record
Abstract
La musicologie générale vise à interpréter les œuvres à travers leurs traces matérielles. Elle s’attache, par exemple, à exhumer des textes musicaux ou des textes sur la musique, à analyser des partitions anciennes ou contemporaines, à étudier les enregistrements… L’historien, l’herméneute ou l’esthéticien, éclairé par le sociologue, l’organologue, l’anthropologue, le sémiologue… chercheront à interpréter l’œuvre, dans le cadre strict de chacun de ces champs disciplinaires. Une médiologie musicale, pour sa part, cherchera la « réverbération » des traces mémorielles observables, en reconstituant les itinéraires, les scénarios de l’émergence d’un genre, les chemins de sa contagion. En faisant « l’examen raisonné des interactions unissant techniques de transport, productions symboliques et pratiques sociales », on orientera la musicologie vers une discipline de l’observation, une sorte de « médiographie » musicale, un recensement des observations accessibles. L’on s’inscrira ainsi dans la démarche promue par Régis Debray, initiateur de ce mode original de connaissance.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.023 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".