Exploring Islamophobia in land use regulations: the case of the city of Mississauga
Bibliographic record
Abstract
Building community spaces is important for immigrant communities: it helps transform the sterility of an unfamiliar new city into home. Muslims have historically sought to make cities their own by building mosques that have served spiritual, social and symbolic functions as architectural sites. This essay examines what the interplay between settlement of newcomers and new types of land use applications and what it tells readers about municipal gaps in addressing the question of “difference” in Canada using the City of Mississauga as a case study. It starts with a review of the history and context of mosque building in Canada, follows up by examining land use policies in Mississauga, and then looks at controversial mosque development issues by examining official city and provincial documents including one Human Rights Complaint. This paper wraps up by presenting recommendations for municipalities to better navigate the question of difference through policy and praxis. Keywords: Islamophobia, land‐use planning, urban planning, racism, exclusion, xenophobia, Mississauga, public policy
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".