The future of non-Christian religions in Canada: Patterns of religious identification among recent immigrants and their second generation, 1981-2001
Bibliographic record
Abstract
This paper addresses the question whether recent immigration to Canada from non-European and mostly non-Christian parts of the world is leading to increasing religious pluralism in Canada, rather than only enhanced ethno-cultural pluralism. Testing Reginald Bibby's hypothesis that, in spite of this immigration, Christianity will continue as the overwhelmingly dominant religious identification in Canada, this article analyzes data from the 1971-2001 decennial censuses. It finds that religious pluralism as measured by number and percent of adherents to major non-Christian religions is increasing and will likely continue to increase because of the composition of continuing immigration. There are, however, also countervailing trends that support continued Christian dominance as well as an increase in no religious identification. These trends include patterns in religious identification over time and the enigmatic effect of rising multiple ethnicity.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".