Bibliographic record
Abstract
Abstract This volume contains interviews with twenty-six of the most prominent oboists from around the world. The chapters are in prose format and highlight different aspects of each musician’s career, focusing on musicianship and pedagogy in ways that are applicable to all musicians. The interviews contain topics such as creating musical interpretations and shaping phrases, the relationship of vocal to instrumental music, taking orchestral auditions, and being a good ensemble player/colleague. The subjects describe their pedagogy and their thoughts on breathing and support on wind instruments, developing finger technique, and creating a useful warm-up routine. The oboists discuss their ideals in reed making, articulation, and vibrato. They also share stories from their lives and careers. The oboists and English hornists profiled from North America are Pedro Diaz, Elaine Douvas, and Nathan Hughes (Metropolitan Opera Orchestra); John Ferrillo (Boston Symphony Orchestra); Carolyn Hove (Los Angeles Philharmonic); Richard Killmer (Eastman School); Nancy Ambrose King (University of Michigan); Frank Rosenwein and Robert Walters (Cleveland Orchestra); Humbert Lucarelli (soloist); Grover Schiltz (formerly Chicago Symphony); Eugene Izotov (San Francisco Symphony, originally from Russia); Allan Vogel (Los Angeles Chamber Orchestra retired); David Weiss (formerly Los Angeles Philharmonic); Randall Wolfgang (New York City Ballet and formerly Orpheus Chamber Orchestra); Alex Klein (Brazil, formerly Chicago Symphony and currently Calgary, Canada); and Sarah Jeffrey, Toronto Symphony Orchestra. The performers based in Europe are Neil Black, Nicholas Daniel, and Gordon Hunt (England); Maurice Bourgue and David Walter (France); Thomas Indermühle (Switzerland); László Hadady (Hungary and France); and Omar Zoboli (Italy). From Australia is Diana Doherty of the Sydney Symphony Orchestra.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.030 | 0.015 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".