Bibliographic record
Abstract
Au tournant du XXe siècle, les mélodies françaises représentent l’Orient comme un ailleurs merveilleux. Elles déclenchent un voyage imaginaire par un jeu de figures musicales évoquant souvent un univers riche en stimulations sensorielles (Les roses d’Ispahan de Leconte de Lisle/Fauré) ou en symbolisme érotisme (Trois chansons de Bilitis de Louÿs/Debussy). Or, dans la seconde décennie du siècle, l’Orient perd son aura évocatrice ; il devient plutôt l’élément déclencheur d’explorations avant-gardistes. Nourris par les découvertes musicologiques et par le développement des moyens de transport, les compositeurs deviennent plus sensibles à l’acte même de composer dans les cultures extra-européennes et au rapport au son qu’il implique. En choisissant le timbre musical comme moteur de la forme, ils créent de nouveaux paysages musicaux. C’est ainsi que les Quatre poèmes hindous de Delage et les Chansons madécasses de Ravel s’approprient l’Orient comme la source pure d’une humanité retrouvée, gage d’une authenticité artistique véritable.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".