Bibliographic record
Abstract
abstract: Religion for many of Canada's earliest Chinese community was not about faith or belief in God, the Buddha, or the Goddess of Compassion (Guanyin). While the majority of Chinese migrants did not convert to Christianity or Buddhism before 1947, a very large number of them joined and became converted to Chinese nationalism (Zhongguo guomindang, aka KMT). This paper reflects on the findings of sixteen years of ethnographic and archival research to understand how sixty-two years of institutionalized racism in Canada, along with bioregionalism and the built environment, determined Chinese migrant religious identities and behaviors in Canada up to 1947. Different Canadian provinces not only had different race-based laws that restricted individual rights and freedoms, they also had varying bioregional characteristics that influenced experiences and interactions with the built environments of churches, temples, and clubhouses. Chinese migrants adapted to legislation that limited their personal rights and freedoms by being efficacious or ling by professing Christian identities in public settings. They might have made offerings to Buddhist deities and frequented Buddhist temples in their home village before migration. But in Canada, being Buddhist was associated with being Japanese, and it was efficacious to be a practicing Buddhist in private. For Canada's Chinese migrants, it was conversion to Chinese nationalism and the veneration of Sun Yat-sen that was the epitome of ling . Being a devoted member met important practical as well as spiritual needs.
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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 | 0.002 |
| Science and technology studies | 0.013 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 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 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".