From religious citizen to multicultural citizen: Changing conceptualizations of citizenship and belonging in Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The religious landscape in Canada has shifted dramatically during the past 50 years, from a country whose population and social institutions were inextricably entangled with Christianity to one which has an increasing number of people who do not identify with a religion at all. Citizenship in this context has shifted from a nation whose imaginary was predominantly Christian, with diversity conceptualized in rather limited ways to one characterized by (non)religious diversity and a multicultural reality. Yet, there are growing pains as majoritarian religion confronts a changing power dynamic and the new diversity. These growing pains have potentially negative implications for education. This article considers the new diversity, the articulation of religious symbols and practices as culture, and the implications of these for citizenship and living well together.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it