Ritual music in a North China village : the continuing Confucian and Buddhist heritage
Bibliographic record
Abstract
Beixinzhuang village, with a population o f about one thousand, is located in the suburbs of Beijing, about twenty-five kilometres to the southeast of the city centre. In 1951, some youths of the village organized a music association and started to learn Bei]ing yinyue (jingyinyue "Beijing music") from a monk living in the village. Over the past half century, the main goal of the Association has been to maintain this music tradition, its most important activity being the performance of music for funeral ceremonies. There has been great change over this period, and the Association has been struggling to keep its tradition. In order to survive, it has had to enlarge its repertoire to fit the changing society. Today, although their repertoire has been greatly expanded, with many different styles o f music added, the most important pieces are of two types: Beijing yinyue pieces learned from the monk, and popular songs adopted mainly from the media. The present work is a study of the Beixinzhuang Music Association and its repertoire as influenced by Confucianism, the predominant traditional ideology o f China, and in terms of the fundamentals of traditional Chinese music theory. Chapter I introduces the cultural background and existing research of Beijing yinyue. Chapter II reviews Confucian belief in theory and practice. Chapter III addresses the organization o f the Association and its activities, and Chapter IV introduces its material culture. Chapter V analyzes the local repertoire and Chapter VI examines the integration of this music into the funeral rituals. A postscript attempts to explain the reasons for change in the repertoire.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".