Bibliographic record
Abstract
Among the more striking developments in contemporary North American music theory is the centrality that questions of musical form (<I>Formenlehre</I>) have enjoyed in recent decades. <I>Formal Functions in Perspective</I> presents thirteen studies that engage with musical form in a variety of ways. The essays, written by established and emerging scholars from the United States, the United Kingdom, Canada, and the European continent, run the chronological gamut from Haydn and Clementi to Leibowitz and Adorno; they discuss <I>Lieder</I>, arias, and choral music as well as symphonies, concerti, and chamber works; they treat Haydn's humor and Saint-Saëns's politics, while discussions of particular pieces range from Mozart's arias to Schoenberg's <I>Verklärte Nacht</I>. Running through all of these essays and connecting them thematically is the central notion of formal function.<BR><BR> CONTRIBUTORS: Brian Black, L. Poundie Burstein, Andrew Deruchie, Julian Horton, Steven Huebner, Harald Krebs, Henry Klumpenhouwer, Nathan John Martin, François de Médicis, Christoph Neidhöfer, Julie Pedneault-Deslauriers, Giorgio Sanguinetti, Janet Schmalfeldt, Peter Schubert, Steven Vande Moortele<BR><BR> Steven Vande Moortele is assistant professor of music at the University of Toronto. Julie Pedneault-Deslauriers is assistant professor of music at the University of Ottawa. Nathan John Martin is assistant professor of music at the University of Michigan.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.028 |
| Scholarly communication | 0.010 | 0.011 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.018 | 0.004 |
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".