Bibliographic record
Abstract
Abstract In his essay “La judéité dans la musique,” Richard Wagner’s horrid portrayal of a Jew by way of physical, economical, linguistic and musical description exposed his anti-Semitic convictions. Much of this aspect has either been forgotten or softened, however, when evoking Wagner, it is in fact the relationship between his anti-Semitism and his work that is the most problematic. This paper proposes to consider three symbolic forms through which this reticence is expressed by looking at the the theoretical writings, opera booklets and their music. Using the Beckmesser character in Les Maîtres Chanteurs de Nuremberg, although Beckmesser is not introduced as a Jew but rather a good German bourgeois, one cannot deny the allegory positioning him as a Jew. First element of demonstration: the analogical resemblance between Beckmesser and the Viennese music critic Eduard Hanslick to whom Wagner accused of hiding his Jewishness. Second element: it has already been proven that Beckmesser’s serenade sung during the second act to the Master Singers was a mockery of a Jewish prayer. Third element: in Cosima’s, Wagner’s wife, diary she explains that this particular piece generated at that time a strong reaction by the Jewish community in Vienna, thus supporting the claim that his antisemitism was already known and problematic to his contemporaries.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.012 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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; 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".