Beyond multination federalism: Reflections on nations and nationalism in Canada
Bibliographic record
Abstract
This article addresses the problem of managing nationalism in multination states by evaluating the influential multination federal model, as put forward by a group of Canadian scholars. Finding that it employs an overly primordial view of nations, the article argues that John Hutchinson’s approach, which foregrounds the conflict of nationalisms that occurs within nations, offers a better lens from which to bring to light the sources of unity and disunity in multination states. To illustrate this, the article discusses the conflict of nationalisms in Canada, suggesting that a debate over the merits of pan-Canadian nationalism within English Canada and French Québec can be identified. In failing to account for this, the article argues that the multination federal model risks (1) marginalizing French-speaking Quebecers who support pan-Canadian nationalism and (2) encouraging English Canadian nationalism. To conclude, the article suggests that models seeking to mitigate the potential centrifugal effects of nationalism should avoid privileging one type of nationalism over another.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.028 | 0.015 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".