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Record W2091460790 · doi:10.7202/1026567ar

Venanzio Rauzzini: An Italian Musician in Britain

2014· article· en· W2091460790 on OpenAlexaffvenue
Paul F. Rice

Bibliographic record

VenueLumen Selected Proceedings from the Canadian Society for Eighteenth-Century Studies · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsHistoryArt

Abstract

fetched live from OpenAlex

Venanzio Rauzzini (1746-1810) enjoyed a significant and varied musical career in Britain that lasted from 1774 until his death. During this time, he variously sang in Italian opera performances in London, composed instrumental and vocal music, directed a concert series in Bath for thirty years, and was one of the most respected singing teachers in Britain. As a foreigner, a Catholic and a castrato, Rauzzini was someone who was "other," both socially and physically. Unlike the visiting operatic castrati who preceded him, Rauzzini was the first castrato singer to make Britain his permanent home, rather than returning to the Continent after his performing days were over. 1 That he would achieve a position of cultural leadership in Britain was both unprecedented and unexpected. In the process, he became a target of distrust and suspicion by those who could not envision a castrato in a leadership role. The implications of Rauzzini's varied career are considerable, and reveal how the changing social and political demographics of Britain affected not only how concert music was perceived by its audience, but also what music should be performed and by whom. This paper explores some of the resulting tensions experienced by Rauzzini during his British career, especially during the late years of 1. Patrick Barbier, The World of the Castrati: The History of an Extraordinary Operatic Phenomenon. trans. Margaret Crosland (London:

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
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 score0.439
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.062
GPT teacher head0.236
Teacher spread0.174 · 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 teacher head, not a consensus.

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

Citations0
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueLumen Selected Proceedings from the Canadian Society for Eighteenth-Century StudiesSame topicDiverse Musicological StudiesFrench-language works237,207