Bibliographic record
Abstract
Abstract This chapter examines Eison’s (1201–1290) linked teaching, ritual, and cultic activities. Eison’s Shingon Ritsu movement spread broadly in medieval Japan, as he and disciples restored temples across the archipelago and conferred the precepts on male and female monastics, lay elites, and commoners alike. Venues for Eison’s activities ranged from small gatherings of monastics in temples and convents; to offering ceremonies at prisons, marketplaces, and outcast communities; to mass assemblies of monastics and laypeople and more private precept conferrals for court and warrior rulers. The chapter uses the diversity of venues and audiences for Eison’s early precepts-spreading activities to argue for the value of understanding both “preaching as performance” and performance as preaching in lived Buddhism. In so doing, this chapter underscores how greater attention to the performative dimensions of official religious leaders can nuance common portrayals of doctrine versus practice, elite versus popular, and institutional versus “everyday” religion.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".