Anti-Muslim Surveillance: Canadian Muslims’ Experiences with CSIS
Bibliographic record
Abstract
The targeting of Muslim communities through “the War on Terror” has given rise to a variety of schemes and tactics informed by Islamophobia and racializing narratives. Yet, there are few studies examining the specific intelligence practices deployed by governments as they engage in forms of racialized surveillance. This study analyses 95 in-depth interviews with Muslim community leaders in five Canadian cities to map the material structural practices employed by the Canadian Security Intelligence Services (CSIS) in its racialized surveillance of Muslim communities. This study documents how CSIS engages in the mass surveillance of Muslim communities, transforms Mosques into spaces of surveillance, creates a community of informants, and targets political activism. Moreover, we found that CSIS deploys illegal practices such as threatening citizenship and refugee status, intimidating people in their homes during the night and denying legal representation during interrogations. The article also explores how these state-led anti-Muslim surveillance tactics produce internal forms of community surveillance where individuals begin to self-regulate their own behavior. The level of CSIS surveillance of Muslim communities raises questions about the extent to which CSIS is overstepping its powers and engaging in illegal practices.
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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 | 0.001 | 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 | 0.003 |
| 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; a candidate call from one teacher head, 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".