Bibliographic record
Abstract
Venanzio Rauzzini (1746-1810), the celebrated Italian castrato, is best known for his performance in Mozart's <I>Lucio Silla</I> in 1772, with which Mozart was so pleased that he composed for the singer the famous motet <I>Exsultate Jubilate</I>. In 1774, Rauzzini moved to London where he performed three seasons of serious operas at the King's Theatre. From 1777 until his death in 1810, he was the director of the concert series in Bath, a series that matched the prestige of any that were given in London. In addition, he composed prolifically, writing music for eleven operas.<BR><BR> This book is a study of Rauzzini's remarkable yet often overlooked career in Britain. Paul Rice chronicles Rauzzini's performances at the King's Theatre and examines his leadership of the Bath subscription concerts from 1780-1810, recovering much of the repertory. Rice shows in detail how Rauzzini responded musically to the social and political conditions of his adopted country, and analyzes the castrato's reception, as well as compositional choices, shedding new light on changing musical tastes in late eighteenth-century Britain.<BR><BR> Paul F. Rice is professor of musicology at the School of Music, Memorial University of Newfoundland.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 0.009 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".