Summary of Dissertation Recitals Two Programs of Art Song and One Operatic Role
Bibliographic record
Abstract
Two voice recitals and one operatic role were presented in lieu of a written dissertation. Friday, November 15, 2013, 8:00 p.m. & Sunday, November 17, 2013, 2:00 p.m., Power Center for Performing Arts, assisted by Clinton Smith and Elim Chan, conductors, and the University Symphony Orchestra. Program: Il barbiere di Siviglia: “Figaro,” by Gioacchino Rossini. Friday, January 24, 2014, 8:00 p.m., Britton Recital Hall, School of Music, assisted by Kirill Kuzmin, piano. Program: Alcina: “Verdi prati,” by George Frideric Handel; Vier ernste Gesänge: “Denn es gehet dem Menschen wie dem Vieh,” “Ich wandte mich und sahe an,” “O Tod, wie bitter bist du,” “Wenn ich mit Menschen- und mit Engelszungen,” by Johannes Brahms; Songs of Travel: “The Vagabond,” “Let Beauty Awake,” “The Roadside Fire,” “Youth and Love,” “In Dreams,” “The Infinite Shining Heavens,” “Whither Must I Wander,” “Bright is the Ring of Words,” “I have Trod the Upward and the Downward Slope,” by Ralph Vaughan Williams. Wednesday, April 2, 2014, 8:00 p.m., Britton Recital Hall, School of Music, assisted by Natalia A. Tokar, piano. Program: Songs from a Shropshire Lad: “Loveliest of trees,” “When the lad for longing sighs,” “When I was one and twenty,” “Look not in my eyes,” “O fair enough are sky and plain,” “Breedon Hill,” “The lads in their hundreds,” “Is my team plowing,” “On the idle hill of Summer,” “Think no more lad,” “With rue my heart is laden,” by George Butterworth; Five songs from the Mörike-Lieder: “Er ist’s,” “Fussreise,” Im Frühling,” “Gesang Weylas,” “Auf einer Wanderung,” by Hugo Wolf; Don Quichotte à Dulcinée: “Chanson romanesque,” “Chanson épique,” “Chanson à boire,” by Maurice Ravel.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.128 | 0.064 |
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".