A Flexible Indeterminate Theory of Religion: Thinking through Chinese Religious Phenomena
Bibliographic record
Abstract
This essay explores a few of the reasons for the failure of Western theories to capture Chinese religious experiences. It will include Durkheim’s insight that “The sacred … is society in disguised form” and variants of secularization theories in contrast to Confucian ones, especially Xunzi’s theory about ritual, read as representative of religion. This article will examine the impossibility of asserting a straightforward claim, without exception, that could capture the three thousand years of historical and contemporary diversity manifested by the three institutional religions (Confucianism, Daoism, and Buddhism), the continuous formation of popular religious movements, ever developing sectarian groups, and pan-Chinese quasi-religious practices like ancestor veneration, divination, healing practices and the like. The study will start by looking at variable categories used in the study of different religions, the similarities in assumptions among the three institutional religions such as the “good” and self-cultivation, and the central place of secularization theory in the contemporary study of Chinese religions. A theoretical orientation of both flexibility and indeterminacy is suggested based on indigenous ideas.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.026 |
| Scholarly communication | 0.004 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".