Mapping Québécois Sexual Nationalism in Times of ‘Crisis of Reasonable Accommodations’
Bibliographic record
Abstract
The language of gender equality and sexual emancipation has become increasingly pivotal to Western immigration and integration governmentality, giving rise to a new brand of nationalism in which women's rights and gay-and-lesbian rights are deemed core civilisational values of the West, while migrant communities, particularly Muslims, are cast as menacing them. Operating through a reconfigured Orientalism and the rhetoric and politics of ‘clash of civilisations’, these collusions come with serious national and international consequences and should be analysed not only as a new inflection of contemporary racism, in an era boisterously declared committed to diversity though anti-multiculturalist and post-racial, but also in their connections with neo-liberalism that links biopolitics to geopolitics and made marketable a range of social movements such as feminism and gay and lesbian activism. Expanding on a critical framework inspired by postcolonial feminist and queer anti-racist writings, this paper uncovers the ways in which gender and sexuality have become a key mode through which technologies of racialised governmentality come into existence via discourses of ‘feminism vs. multiculturalism’, ‘secularism’ and ‘human rights’, during the recent Québécois ‘reasonable accommodation crisis’, which was seemingly about the extent to which minority religious accommodation should be practiced, hence ‘not about race’.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".