Performing Te: Gesture and Timbre in Fujikura Dai’s <i>neo</i> for Solo Shamisen
Bibliographic record
Abstract
Abstract This article proposes an intercultural analysis of gesture and timbre in Fujikura Dai’s neo for solo shamisen (2014). I analyze neo through the concept of te, a term used by shamisen players to refer to 1) recurring melodic patterns; and 2) their characteristic fingerings, hand positions, and performance techniques. My analysis of neo highlights how a performer’s use of te can shape the form of a piece. Through aural and visual analysis of performances by shamisen player Honjoh Hidejirō, I demonstrate how the form of neo unfolds through changes in te. Weaving together the embodied knowledge of shamisen players, Japanese and U.S./Canadian theories of fretboard topography, and performance analysis, my consideration of te serves as an intercultural mode of analysis that reflects Fujikura’s and Honjoh’s backgrounds in Western art music, shamisen performance, and rock.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".