Religious Symbols, Multiculturalism and Policy Attitudes
Bibliographic record
Abstract
Abstract Multicultural policy is an increasingly salient, and contested, topic in both academic and public debate about how to manage increasing ethnic diversity. In spite of the longstanding commitment to multiculturalism policy in Canada, however, we have only a partial understanding of public attitudes on this issue. Current research tends to look at general attitudes regarding diversity and accommodation–rarely at attitudes towards specific multicultural policies. We seek to (partly) fill this gap. In particular, we focus on how support for multiculturalism policy varies across benefit types (for example, financial and other) and the ethnicity/religiosity of recipient groups. Using a unique survey experiment conducted within the 2011 Canadian Election Study (CES), we examine how ethnic origin (Portuguese vs. Turkish) and religious symbols (absence and presence of the hijab) influence support for funding of ethno-religious group activities and their access to public spaces. We also explore whether citizens’ general attitudes toward cultural diversity moderate this effect. Results provide important information about the state of Canadian public opinion on multiculturalism, and more general evidence about the nature, authenticity and limits of public support for this policy.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".