‘Alles, was ist, endet:’ On Dramatic Text, Absolute Music, Adorno, and Wagner's <i>Ring</i>
Bibliographic record
Abstract
The crux of the operatic genre has always been the perennially problematic relationship between text and music. Richard Wagner attempted to solve this conundrum in his new art form of music drama – first embodied in his monumental Ring cycle – which he theorized in gendered terms as a union of poetry (male) and music (female), an imagined marriage between the qualities of Shakespearean drama and Beethovenian symphony. But according to Theodor Adorno, the very notion of symphonic music, which follows its own musical logic, is antithetical to the genre of opera, which demands that music construct itself according to its relationship to language. From the impasse between the demands of the operatic art form and the increasingly autonomous music of the late nineteenth and early twentieth centuries, he theorized the end of opera itself in the age of modernism. This article entwines Wagner's concept of music drama, the musico-dramatic character of Erda who prophesies the end of the world in the Ring, and Adorno's diagnosis of opera's fatal condition in the decades following Wagner, to examine the principle of ending in opera, and of opera, and how the former can be read as a prefiguration of the latter.
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 | 0.001 | 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 | 0.004 | 0.012 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".