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Record W4366495796 · doi:10.33137/ic.v6i.40979

From a Play by C. Federici to Rossini’s First Opera: The Genesis of La cambiale di matrimonio

2023· article· en· W4366495796 on OpenAlexaffvenue
Gabriele Erasmi

Bibliographic record

VenueItalian Canadiana · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsMcMaster University
Fundersnot available
KeywordsOperaArtHumanitiesLiterature

Abstract

fetched live from OpenAlex

Five years ago, in the very first issue of Italian Canadiana, I published a paper by the title "A Canadian in Italy at the end of the Enlightenment: Rossini's La cambiale di matrimonio."It investigated European perceptions of Canada and the New World toward the end of the Eighteenth century and provided an analysis and an assessment of Rossini's brilliant operatic debut in 1810.It was, above all, a study of the character of the protagonist, a strange, but wise and generous Mr. Slook, one of the first of very few Canadians to grace the European or the Italian stage.'Little could be said at the time of the genesis of the opera from a play by the same title composed, perhaps twenty years earlier, by an obscure Italian playwright who died at age 53, on December 23, 1802, eight years before Rossini's momentous transmogrification of his play.At birth, his name was Giambattista Viassolo, but, upon joining a compagnia di comici, he took on, for the rest of his life, the name of Camillo Federici and passed on to his children his new surname.This nom de plume originated from a farse he wrote in his youth, Camillo e Federico, and he assumed it in order to spare his middle class parents, who dreamed for him a more conventional career, the embarrassment and shame of his association with the theatre.Such were the times.ETA.

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)0.003
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 score0.053
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.013
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0080.002

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 head0.019
GPT teacher head0.218
Teacher spread0.198 · 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".

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Citations0
Published2023
Admission routes2
Has abstractno

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