ACCOUNTS OF VIETNAMESENESS: MAPPING VIETNAMESE BUDDHISM(S) IN MONTREAL
Bibliographic record
Abstract
This thesis is a study of religion in movement through retellings of stories from members of the Vietnamese-Canadian immigrant community in Montreal, Québec. It aims to demonstrate that religion, specifically Buddhism, plays an important role in processes of homemaking. The thesis maps Vietnamese Buddhism as a complex system of shifting beliefs and practices, highly contingent on its encounters with different environments and people. It aims to show that the tradition is strongly anchored in members of the community’s everyday life given that it is tightly intertwined with cultural ways to interact, eat, care, and treat their family members, alive and dead. This thesis, following North American Religions scholars, aims to challenge the assumption that the modern world, due to its post-Enlightenment disenchantment with the superstitious in the move toward the rational and scientific, has been “secularized,” that is, emptied of religion, which has declined and become privatized. It argues that religion still has much to do with the way everyday life is lived. The research thus takes up a “lived religion” approach to enquire into the ordinary religious subject’s everyday practices in new, often non- religious, and profane spaces, rather than the explicit and exclusive religious life of the unambiguously religious individual. It aims to demonstrate that studying religion constitutes a generative avenue to understanding societies today.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.015 | 0.012 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".