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Record W4285483208 · doi:10.1017/s095458672200009x

Mozart's Operatic Embellishments

2021· article· en· W4285483208 on OpenAlex
Dorian Bandy

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCambridge Opera Journal · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsMcGill University
Fundersnot available
KeywordsMOZARTOperaArtDramaLiteratureStyle (visual arts)MusicalHumanitiesVisual arts

Abstract

fetched live from OpenAlex

Abstract Alongside the model embellishments Mozart composed for various keyboard works, he also wrote embellishments for contemporary arias including ‘Ah, se a morir mi chiama’ from Lucio Silla , the concert aria ‘Non sò d'onde viene’ K.294 and ‘Cara, la dolce fiamma’ from J.C. Bach's Adriano in Siria . Although these have been overlooked in the critical literature, they shed light on many aspects of Mozart's art of melodic decoration. In this article, I begin by examining these notated operatic embellishments: their textual histories, the styles of elaboration they evince, the pacing with which they unfold, and their motivic construction, as well as their relation to broader trends in Mozart's style. I then explore the embellishments Mozart composed into the texts of his other operas, arguing that these served not only a musical but also an aesthetic purpose, furthering elements of characterisation and drama, particularly in Le nozze di Figaro , Don Giovanni , and Così fan tutte . I end with brief remarks on the challenges facing modern-day interpreters who wish to embellish Mozart's operas.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.350
Threshold uncertainty score0.975

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0260.001

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 head0.027
GPT teacher head0.226
Teacher spread0.199 · 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