A Preliminary Argumentation on the Objective Existence of Chinese Buddhist “Shifang Tune”: An Indirect Argumentation based on Documents and Dictation
Bibliographic record
Abstract
Extensive fieldwork experience has shown that a large number of Buddhist temples have used several verbal concepts based on geographical classification. The paper takes more comprehensive collection, integration and dialectical analysis of these concepts, and analyzes their essence and common characteristics. The author finds that the essence corresponds to the regions where the melodies spread, and there are local and nonlocal types of cases, suggesting that there may be a super regional melody system similar to Taoist “Shifang grace song” in Buddhist music, so takes “Shifang Tune” as the unified name and research objective. Meanwhile, the paper analyzes its source region and spreading route, etc., in order to reveal the nature, characteristics and regularity of Buddhist melodic system, lay a foundation for further study of the morphology of Buddhist music, and promote the research of Buddhist music to a better development.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".