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Record W4284673191 · doi:10.1093/ml/gcac043

Jewish difference and recovering ‘commedia’: erich w. korngold’s ‘die tote stadt’ in post-first world war austria

2022· article· en· W4284673191 on OpenAlexfundno aff
Amanda Hsieh

Bibliographic record

VenueMusic and Letters · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCentral European national history
Canadian institutionsnot available
FundersJackman Humanities Institute, University of TorontoUniversity of Toronto
KeywordsJudaismModernityOperaHarmony (color)ArtArt historyScholarshipWorld War IIHistoryLiteratureTheologyPhilosophyVisual artsLawPolitical science

Abstract

fetched live from OpenAlex

ABSTRACT Commedia dell’arte re-emerged in the early twentieth century to become a means for Europe’s assimilated Jews to process the conditions of modernity by non-serious means. Yet, existing scholarship on Erich W. Korngold’s Die tote Stadt tends to focus on the protagonist Paul with respect to the doppelgängers Marie/Marietta, spotlighting the psychodrama of Acts I and III but overlooking the overtly theatrical episodes of Act II’s extended commedia dell’arte sequence. The opera’s ‘Schlager’ (hit songs) offered old-world comfort to its post-First World War Viennese audience. Nevertheless, the commedia dell’arte scenes were significant in terms of advancing an affirmative politics for war-torn Vienna’s assimilated Jews, precisely because of how deliberately noisy they appeared in opposition to the world of Catholic harmony. Placing side by side Wagnerian symbolism and commedia dell’arte—that is, ingredients from Christianity and contemporary popular Jewish theatre—Korngold’s opera asked timely questions of the Jewish citizenry in Austria’s First Republic.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0060.007
Scholarly communication0.0040.001
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.023
GPT teacher head0.225
Teacher spread0.202 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations9
Published2022
Admission routes1
Has abstractyes

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