Chapter One. From far and wide: Canadian religious and cultural diversity in global/local context
Bibliographic record
Abstract
This chapter takes a historical view to show how late twentieth-century Canada is the outcome of its own history and how that history has always been a reflection of the global context. It examines some of the concrete consequences of the recent changes with specific reference to the issue of religious diversity in contemporary Canada. The chapter focuses on how these questions of identity and diversity manifest themselves in the lives of a specific portion of the Canadian population. Christianity is the largest religion; but other world religions like Islam, Judaism, Hinduism, Sikhism and Buddhism also have a substantial history in Canada. The consequences of immigration for religious diversity in Canada is that the newcomers arrive and adapt to the local styles and forms that are dominant among the natives, but at the same time the global specificity of the newcomers helps to transform the religious diversity of the natives.Keywords: Buddhism; Canada; Christianity; cultural diversity; Hinduism; immigrant groups; Islam; Judaism; religious diversity; Sikhism
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".