Bibliographic record
Abstract
Liuban is one of a constellation of old tunes (qupai) that are foundational to music of China, and in particular to the rich "Silk-and-Bamboo" music (jiangnan sizhu) of the lower Yangzi region. This essay highlights some of the extraordinary qualities of Liuban by treating its grouping structure not as fixed, but as constructed dynamically by the listener. A processive analysis shows how Liuban deploys its materials elegantly to suggest but then to subvert grouping function, creating fluctuant, protean sensations of beginning, ending, and continuation that are analogous to its gentle varying contour and pitch focus. It manifests not a fixed form but an almost self-antithetical process—a Dao, or path of natural action—through which a moment of maximal conformity simultaneously appears as a moment of maximal possibility. During the preparation for that moment, sensations of symmetry are infused with remembered asymmetrical qualities and vice versa. The analysis thus provides a dynamically oriented supplement to standard fixed-state accounts of the grouping structure of this melody. It also provides a productive basis for comparing Liuban with other qupai like Baban, and for understanding the "flowered" melodies that are derived from them, thus providing a new approach to this fundamental but as yet little-studied procedure in Chinese music.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".