And then there were none: Regional dynamics of non-religious identities, beliefs and practices among Canadian millennials
Bibliographic record
Abstract
Religious nones - or, in other words, those who say that they have no religion when asked - are one of the fastest growing demographics in Canada, especially among young adults aged 18-35. Using statistical data from a 2019 Millennial Trends Survey, a diversity of approaches to religion, spirituality and non-religion can be seen within this broad category of individuals. Based on these findings, the author argues that the two main theoretical frameworks of 'secular transition' and 'spiritual but not religious' should be understood as complementary, rather than contradictory, in understanding the religious none phenomenon. Evidence of five distinct regional patterns of religious nones across the country is found, which are designated as 'spiritual British Columbia', 'dispersed Prairies', 'vestigial and uncertain Ontario', 'non-believing Quebec' and 'stigmatized Atlantic Canada' nones.
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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 | 0.003 | 0.004 |
| 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; both teacher heads agree on what is shown here.
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".