Neither ‘America’ nor ‘Québec’: constructing the Canadian multicultural nation
Bibliographic record
Abstract
ABSTRACT.Although researchers have deconstructed the myth of stark social differences between the various North American sub‐societies, an assimilating American melting pot and an ethnically oppressive monocultural Québec are still popular representations within Canadian majority discourses, such as the English‐language mainstream media and parts of academia. In this paper, I argue that images of ‘America’ and ‘Québec’ play important roles for the multicultural reconstruction of Canadian nationhood. Examining selected op‐ed articles from two Toronto‐based mainstream newspapers during the 1990s, I develop and exemplify a theoretical understanding of how national identities are constituted and transformed within inter‐ and intra‐national relations of power and alterity. I pay special attention to the particularisation of Canada through the confrontation with American nationhood, the ambiguities of recognising the distinctiveness of Québec inside Canada, and the consequences of projecting Québec's supposedly ‘ethnic’ nationalism outside the boundaries of Canadianness.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.023 | 0.011 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".