Knowing Body, Moving Mind: Ritualizing and Learning at Two Buddhist Centers
Bibliographic record
Abstract
Introduction Chapter One: Friends of the Heart and Chandrakirti Centre: Meditation in Toronto Friends of the Heart Chandrakirti Centre Outreach Chapter Two: Discovery Stories Why Take a Meditation Class? Chapter Three: Meditation Classes, Rites, and Ritual Rites of Entry Opening Prayer Meditation Talks or Lectures Group Discussion and Socializing Closing Rites Ritual and Introductory Meditation Classes Ritualization and Ritualizing Performance Theory and Restoration of Behavior Conclusion Chapter Four: Beyond Knowledge Bloom's Taxonomy Cognitive Learning Affective Learning Psychomotor Learning A Fourth Domain? Practice as Changing Behavior Conclusion Chapter Five: The Ritualizing Body-Mind Ritualizing and Decorum Prostrations Learning, Experimentation and Invariance Cognitive Learning and Ritualizing Ritualizing and Meditation Meditation and Embodied Knowing Conclusion Chapter Six: Learning is Change Newcomers, Learning and Change Teacher's Objectives Conclusion Appendix: Student Interview Participants by Name Notes Bibliography
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".