Bibliographic record
Abstract
Unity and Analytical Paradigms Theoretical tools designed to show unity have long been used implicitly to substantiate the integrity of composers (and theorists) faced with the commodification of culture, functioning as tropes for creative authority and autonomy, and a ready criterion for value judgment. In the wake of Romantic aesthetics that critiqued conventional harmonic syntax and stereotypical melodic figures as a basis for coherence, such tools became particularly urgent. “Everyone knows,” wrote Roger Parker over thirty years ago in a study of motivic development in Aida , “[that] in good music a search for ‘motivic coherence’ will almost always be rewarded in overabundance.” These kinds of remarks have most often been tested with reference to German repertory extending from Bach to Wagner and beyond. But for quite some time now, the wall erected by critics such as Arnold Schoenberg and Carl Dahlhaus between works that putatively follow their own internal designs and those beholden to social practice and institutions (such as nineteenth-century Italian opera) has crumbled, not only because the former have been seen as grounded in ideology and society but also because the latter have been subjected to a new and wide variety of theoretical tests of what constitutes “good music.” Varieties of Unity Yet although the new apparatus of music theory has modernized Verdi research—just as productions of the works themselves have been modernized—it has come under fire over a range of concerns. Quite some time ago, the houselights dimmed on the type of musical logic that privileges motivic and tonal relationships. Some have objected to a tendency to “terrorize” historical Others and crush figures of the past with the heavy armor of modern analytical techniques, others to a plethora of graphs and charts and tedious prose. These complaints have been effective in encouraging greater nuance in critical and analytical discussions but often do not seem to foster methodological pluralism any more than their targets. We would do well to remember that methodologies are the product not only of ideologies, authority structures, and/or consensus-seeking communities but of personal temperaments as well. One prominent suggestion that opera criticism should forgo analyses that seek coherence in unity came from James Webster in the late 1980s. He admonished readers “to conduct our searches for tonal coherence as skeptically as we know how, and to accept from the beginning and without bias the possibility that we may not find it.”
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 | 0.010 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.007 | 0.044 |
| Scholarly communication | 0.020 | 0.027 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.006 | 0.015 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".