Bibliographic record
Abstract
Principalement connu pour ses opéras, le compositeur Franz Schreker (1878-1934) connaît une trajectoire des plus étonnantes : si ses premiers opéras sont salués par la presse, il subit rapidement le feu de critiques extrêmement diverses. Outre les arguments ad personam – il est issu d’une famille juive –, la presse s’empare de réseaux sémantiques qui étayent cet antisémitisme : ceux de la décadence et de la dégénérescence. Particulièrement féconds dans la presse germanique des années 1918-1921, ces termes ne semblent pas susciter de réponse de Schreker, qui préfère publier ses essais esthétiques dans les Musikblätter des Anbruch, jeune journal qu’il se sait acquis. Le compositeur se tient loin des polémiques : politique ou esthétique, aucune ne suscite de véritable réponse. Définissant sa démarche compositionnelle dans un nombre restreint d’articles publiés dans les Musikblätter des Anbruch, Schreker semble en effet évacuer toute référence aux termes concentrant la polémique : décadence, dégénérescence, impressionnisme et expressionnisme.
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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.009 | 0.022 |
| Scholarly communication | 0.021 | 0.021 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.027 | 0.005 |
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".