Opera Repertory Class of Ingolf Dahl, 1948-06-01
Bibliographic record
Abstract
Opera Repertory Class of Ingolf Dahl, Hancock concert hour, Hancock Auditorium, University of Southern California, Los Angeles, California, 1948 June 1. Ingeborg Kindem, soprano; Rosaline Milooly, mezzo-soprano; Bernice Wilner, soprano; Herbert Isaacson, tenor; Donald Combs, baritone; Karl Kludt, tenor; Mabel McGill, soprano; Grace Burdick, mezzo-soprano; Vincent Reau, baritone; H. Allen?; unidentified, piano. Broadcast on KUSC.CONTENTS: Last scene, from Act 1 of Der Rosenkavalier, op. 59 (arranged for soprano, mezzo-soprano, and piano) / Richard Strauss -- Scene 1, from Act 2 of Der Rosenkavalier, op. 59 (arranged for mezzo-soprano, soprano, and piano) / Richard Strauss -- "Il cenno mio", from Act 1 of The masked ball [Un ballo in maschera] (arranged for tenor, baritone, and piano) / Giuseppe Verdi -- "A tal colpa è nulla; Morrò, ma prima in grazia", from Act 3 of The masked ball [Un ballo in maschera] (arranged for soprano, baritone, and piano) / Giuseppe Verdi -- "Parle-moi de ma mère", no. 7 from Act 1 of Carmen (arranged for tenor, soprano, and piano) / Georges Bizet -- "Je vais danser en votre honneur; La fleur que la m'avais jeté", no. 17 from Act 2 of Carmen (arranged for mezzo-soprano, tenor, and piano) / Georges Bizet -- Quintet, "Nous avons en tête une affaire", no. 15 from Act 2 of Carmen (arranged for mezzo-soprano, 2 sopranos, tenor, baritone, and piano) / Georges Bizet -- Intermezzo, from Carmen? (arranged) [not recorded] / Georges Bizet.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.061 | 0.018 |
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".