Death in Venice: Britten's operatic triumph -and- The allegorical Schoenberg: twelve tone music in Thomas Mann's Doctor Faustus
Bibliographic record
Abstract
Essay 1: Thomas Mann’s novella Death in Venice is rooted in Greek myth and the Apolline and Dionysian struggle presented by Nietzsche. Aschenbach’s struggle and demise is understood through the boy Tadzio, who is best represented in the opera. In this paper I argue that Benjamin Britten’s opera surpasses the emotional impact of either Mann’s novella or Luchino Visconti’s movie adaptation. Essay 2: In his novel Doctor Faustus Thomas Mann casts Adrian Leverkühn, a composer, as a modern version of Faust. In his pact with the devil, Leverkühn exchanges his soul for revolutionary musical genius. In this paper I argue that Thomas Mann’s use of Schoenberg’s revolutionary method of composing in twelve tones supplies the compelling justification for Leverkühn’s pact with the devil.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 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".