Understanding Majority Attitudes toward Minority Nations in Multinational Federations: The Case of Canada
Bibliographic record
Abstract
Abstract While a relatively large body of literature has explored the conditions that might promote either reform or the status quo in multinational federations, few studies have explored majority attitudes toward minority nations in the context of multinational federations. In this article, we ask what factors account for majority attitudes toward minority nations in multinational federations. In making use of data from the 2011 Canadian election study (CES), we explore both attitudes toward Quebec in general and the willingness to do more for Quebec, which we refer to respectively as “affective attitudes” and “policy attitudes.” Our findings demonstrate the key role played by generalized prejudice and perceptions of how one’s province is treated in the Canadian federation in structuring both sets of attitudes. The impact of Canadian identity, on the other hand, is more limited. Meanwhile, conservative ideological predispositions are a predictor of policy attitudes but not affective attitudes.
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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 | 0.000 |
| 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 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".