Bibliographic record
Abstract
Abstract Vietnam, Laos, and Cambodia have historically been nations with large Buddhist populations. While Mahāyāna Buddhism predominates in Vietnam, most people in Cambodia and Laos have been dedicated to Theravāda Buddhism. In 1975, these three countries came under the domination of Communist governments, which had earlier been in conflict with factions militarily supported by the United States. This led to the beginnings of the massive movement of refugees from Southeast Asia to North America. An especially radical regime had taken power in Cambodia, and after war broke out between Cambodia and Vietnam the flow of refugees became a flood. All of the new governments of these countries were hostile to independent religious organizations and practices. The Khmer Rouge in power in Cambodia took its antagonism to religion to an extreme, attempting to violently eradicate traditional Buddhist practices and institutions. As refugees settled in ever-greater numbers in North America and other locations, they established Buddhist temples and other organizations in the new homelands. In consequence, Vietnamese, Cambodian, and Lao communities in the United States and Canada have also become sites for the rapid growth of North American Buddhism. Southeast Asian Buddhism has become a part of a pluralistic religious environment, adding new rites, celebrations, and cultural activities to American society. Buddhism has also played a central part in maintaining ethnic identity among refugee populations and their descendants, as well as in helping Buddhists adapt to life under changing circumstances.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".