Les intellectuels québécois face au multiculturalisme: hétérogénéité des approches et des projets politiques
Bibliographic record
Abstract
In the first part, this article proposes an analysis of the critical discourse produced by intellectuals in Quebec's universities about Canadian multiculturalism. The second part concerns an alternative model, the Quebec model of interculturalism. Whereas the critical discourse on multiculturalism is often presented as an undifferentiated whole representing "Quebec's point of view," we have high-lighted the heterogeneity of such a discourse. It would be erroneous to assume that the critical discourse about multiculturalism can be reduced to the fragmentation thesis. A clear conclusion emerges from our findings: Quebec intellectuals' thoughts vary greatly depending on the authors and the various disciplinary traditions. This variation concerns the central concepts used in the analysis, the themes that receive most attention, and the theses that are elaborated. The same applies to the political projects that are explicit or implicit in such discourses.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.007 |
| 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; both teacher heads agree on what is shown here.
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".