Bibliographic record
Abstract
The author here proposes Julia Kristeva's notion of "productivity" as a way of conceiving of the relations between different theories of music. By such a notion, rather than confirming, disconfirming, or exemplifying a theory, a particular musical work (or works) may redistribute the theory. The redistribution, in fact, might not only modify the initial theory—something certainly not original to productivity—but may also bring it into articulation with fundamentally opposed models of musical function, without which, nevertheless, the original theory remains incomplete. An extended example is adduced from Schubert's Schubert's Impromptu in G-flat Major, D. 899, in connection with, first, Schenker's Free Composition ( Der freie Satz ), and second, Schoenberg's Theory of Harmony ( Harmonielehre ); Schenker's inconsistent practice with respect to first-order neighbours, along with certain issues in the Impromptu, become the occasion for examining a case of productivity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.220 | 0.007 |
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; both teacher heads agree on what is shown here.
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".