Forgiveness American-Style: Origins and Status of Forgiveness in North American Buddhism
Bibliographic record
Abstract
Many Buddhist teachers in North America teach forgiveness: an attitude of non-anger not conditional on wrongdoers repairing their wrongs. Classical Buddhist texts and premodern Buddhist cultures also taught forgiveness: the act of reconciling after wrongdoers repaired wrongs. This article describes traditional Buddhist forgiveness processes, analyses how new processes to forgive arose in North America, and outlines the current state of Buddhist forgiveness teachings there. It shows that the predominant way North American Buddhists now teach forgiveness is new. It developed in the 1970–1990 period and incorporates non-Buddhist discourses. In addition to clarifying what forgiveness has long been in Buddhism and how, in North America, changes to that occurred, the article notes the frequent absence, among academic scholars and Buddhists alike, of awareness concerning (a) the replacement of longstanding Buddhist teachings on forgiveness by new teachings; (b) the predominantly non-Buddhist sources of the new teachings; and (c) the impact on victims, wrongdoers, relationships, and communities of the new teachings. The article contributes to scholarship on Buddhist ethics, forgiveness in Buddhism, and the development and hybridisation of Buddhism in North America.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".