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Record W3133750472 · doi:10.1525/jams.2020.73.3.535

Sarti's <i>Fra i due litiganti</i> and Opera in Vienna

2020· article· en· W3133750472 on OpenAlexaff
John Platoff

Bibliographic record

VenueJournal of the American Musicological Society · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Influence and Diplomacy
Canadian institutionsTrinity College
Fundersnot available
KeywordsMOZARTOperaItalian operaMusicalPrestigeArtPopularityArt historyAppealHistoryHumanitiesLiteratureLawPhilosophyPolitical science

Abstract

fetched live from OpenAlex

Abstract Giuseppe Sarti's opera Fra i due litiganti, premiered in Milan in 1782, was the first great success of the reconstituted Italian opera company in Vienna in 1783. The opera sustained its enormous Viennese popularity for years, while also being performed in over one hundred other European cities by 1800. Mozart's quotation of the work in Don Giovanni testifies to its continuing appeal. But the version of the opera that was so successful in many parts of Europe differed substantially from the Milanese original. The surviving manuscript scores and printed librettos reveal that a standardized Viennese version of Fra i due litiganti, in which more than a third of the original arias were replaced, became the basis for productions across much of Europe. This unexpected standardization may reflect the prestige of Vienna and its role as a distribution point for opera scores, especially since many of the manuscripts were produced by Wenzel Sukowaty, the copyist for the Viennese court theaters. The Viennese changes surprisingly include arias for Nancy Storace and Francesco Benucci—later Mozart's Susanna and Figaro—who had themselves created the same roles in Milan. (Normally arias would be substituted to suit the preferences of new singers.) These alterations not only changed the profiles of the characters, but allowed Storace and Benucci to define themselves for the Viennese public, establishing the musical and dramatic personae that quickly made them the beloved favorites of Viennese audiences.

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)0.001
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: none
Teacher disagreement score0.018
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0060.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0180.004

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 head0.038
GPT teacher head0.310
Teacher spread0.272 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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