Muslim Youth in Canadian Schools: Education and the Politics of Religious Identity
Bibliographic record
Abstract
This article provides an ethnographic analysis of the schooling experiences of Muslim youth in Canada who are committed to maintaining an Islamic lifestyle despite the pressures of conformity to the dominant culture. Little attention has been paid to how religious identity intersects with other forms of social difference, such as race and gender in the schooling experiences of minoritized youth. Using a case study often Muslim students and parents, this article demonstrates how Muslim students were able to negotiate and maintain their religious identities within secular public schools. The participants' narratives address the challenges of peer pressure, racism, and Islamophobia. Their stories reveal how Muslim students are located at the nexus of social difference based on their race, gender, and religious identity. The discussion further explores the dynamics through which these youth were able to negotiate the continuity of their Islamic identity and practices within schools despite the challenges that they faced. Building upon existing theories of identity maintenance and construction, this research demonstrates how the interplay of the core factors of ambivalence, role performance, and interaction and isolation are implicated in the way Muslim students negotiate the politics of religious identity in their schooling experiences.
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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 | 0.001 | 0.003 |
| Science and technology studies | 0.036 | 0.008 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".