Carlo Bergonzi Masterclass, January 31, 1988
Bibliographic record
Abstract
This is the concert program of the Carlo Bergonzi Masterclass on Sunday, January 31, 1988 at 8:00 p.m., at the Concert Hall, 855 COmmonwealth Avenue. Works performed were "Parto, parto, ma tu, ben mio" from "La Clemenze di Tito" by Wolfgang Amadeus Mozart, Seguidilla from "Carmen" by Georges Bizet, "E lucevan le stelle" from "Tosca" by Giacomo Puccini, Amorosi mei giorni by Stefano Donaudy, "So anch'lo la virtu magica" from "Don Pasquale" by Gaetano Donizetti, "Quando m'en vo" from "La Bohème" by G. Puccini, "Dalla sua pace" from "Don Giovanni" by W. A. Mozart, "Canzone" from "The Barber of Seville" by Gioachino Rossini, "Va godengo" from "Serse" by George Frideric Handel, "Cortigiani, vil razza" from "Rigoletto" by Giuseppe Verdi, "Nemico della patria?" from "Andrea Chenler" by Umberto Giordano, "Regnava nel silenzio" from "Lucia di Lammermoor" by G. Donizetti, and "Si, mi chiamano Mimi" from La Bohème by G. Puccini. Digitization for Boston University Concert Programs was supported by the Boston University Humanities Library Endowed Fund.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.570 | 0.358 |
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".