Bibliographic record
Abstract
“An insightful metaphor offers a more direct road to a complex action than a detailed, literal description ever could” (260). John Paul Ito’s words reflect what many have witnessed in pedagogy, journalism, or academic writing: the communicative power of metaphor. Focal Impulse Theory, Ito’s impressive volume on musical performance, meter, and the physical organization of time, largely uses metaphor to structure a theory that aims to have a broad impact on, and applicability to, analysis and performance of common-practice era Western art music. Focal impulses give rise to musicians’ organization of time in the performance of a musical work. Ito’s discussion of focal impulses is oriented toward theorists and performers, and the book’s subject matter is presented in a spiral fashion to facilitate this dual orientation. I begin this review by summarizing the detailed contents of Focal Impulse Theory, paying attention to where its spiral organization succeeds and where it suffers. I then situate the book amid current discussions concerning repertoire and methodology in the music theory discipline and survey some challenges I believe Focal Impulse Theory faces in reaching its intended readerships.1
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.061 | 0.040 |
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".