Ecomusicology of Qinpai Erhu in the Guanzhong Region of Shaanxi
Bibliographic record
Abstract
Ecomusicology constitutes an interdisciplinary field that applies ethnomusicological and anthropological perspectives to the study of music and sound as they intersect with human social and cultural practices and their relations with the natural environment. Qin pai erhu—commonly referred to as “Shaanxi erhu”—represents a distinctive regional school characterized by specialized performance techniques and stylistic features derived from Shaanxi’s indigenous musical idioms, including northern folk songs and Guan Zhong opera. This study offers a investigation of Shaanxi erhu performance practice by examining the ecological and environmental influences of the Guan Zhong region, with particular reference to the exemplar work “Qin Qiang Opera Theme Capriccio”. Through musical analysis and contextual interpretation, we demonstrate how regional environmental factors have shaped both the sonic aesthetics and technical adaptations of Qin pai erhu. The findings hold pedagogical implications for erhu instruction and contribute to heightened environmental awareness within musical scholarship. Moreover, this research provides a comprehensive reference framework for future scholars and performers seeking to engage with the Qin pai erhu tradition.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".