The racialised logics of Islamophobia in Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This chapter looks at how Islamophobia is conceptualised and operates in Canada as a set of discourses and practices defined through the relationship between Muslims, racialisation, and coloniality. The racialised logics that underpin the construction of the Canadian national imaginary are grounded in the intersecting histories of English and French white settler-colonial projects. These racialised logics continue to shape the present-day relationship between white majorities and racialised Muslim minorities in Canada and Quebec, most visible in the 2017 Quebec City mosque shooting and its aftermath. This chapter situates this national analysis within the global and transnational elements that inform Islamophobia, such as the War on Terror and its securitisation of Muslims and the rise of xenophobic and Islamophobic far-right and white supremacist political groups in the United States, Canada and Quebec. The chapter concludes with a discussion of the emergence of Muslim political identity and agency as part of the active resistance to ongoing Islamophobic laws, political discourses, and actions.
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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 | 0.000 |
| 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 | 0.001 | 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 it