“I Am Not Who You Think I Am”: Multiple, Hybrid and Racialized Identities of Canadian Muslim Youth in the Negotiation of Belonging and Citizenship
Bibliographic record
Abstract
While other studies explore the challenges faced by Western Muslim youth, this study focuses on the challenges and development of a meaningful stable Canadian-Muslim identity in an era of global conflicts, collective surveillance, and suspicion. Identity-formation is complex, involving the configuration of many influences—direct and indirect, local and global, personal and impersonal. Sometimes aspects of fluid, and multiple identities conflict and individuals are faced with navigating competing and not necessarily commensurable influences. Such is the case with the Canadian Muslim Youth—CMY. Thematic analysis of 30 interviews with CMY, identified five major themes: (a) Navigation of multiple, complex, and hybrid identities; (b) Religious identity and spirituality; (c) “I am not what you think I am”—Media portrayals of Muslims; (d) Claiming inclusion and belonging in the face of anti-Muslim racism; and (e) Recommendations. Listening to CMY voices will help policymakers, practitioners, Muslim communities and organizations to develop strategies for positive youth development.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.031 | 0.012 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".