The Politics of Identity and Space: Muslim Female Students' Discourses on their Experiences in Secular High Schools
Bibliographic record
Abstract
There is a wealth of existing literature on the importance of student organizations both at the secondary and post-secondary level; however, very little is known about Muslim female youth and their experiences in Muslim student groups in secondary schools. This study focuses on the discourses of adolescent Muslim females and their participation in Muslim student organizations in public high schools in Ontario. The educational experiences of Muslim female students are shaped by a variety of discourses, including Orientalism, secularism, Islamic religious discourses, and discourses on gender and sexuality. Through in-depth interviews with Muslim female high school students and Muslim high school teachers who supervise Muslim student organizations within one of the largest and most culturally and racially diverse school boards in Ontario, I explored the internal dynamics of Muslim student groups and their connection to identity and space. I also examined equity and inclusive education policy documents and religious accommodation policy guidelines in several public school boards in Ontario, in order to better understand the official discourses on religious accommodation. My analysis of participant discourses used the theoretical concepts of Orientalism, outlined by Edward Said, and Third Space by Homi Bhabha and Henri Lefebvre, as well as the notion of hybridity also conceptualized by Homi Bhabha. Student discourses revealed that participation in Muslim student groups provided them with avenues to socially integrate into the larger school community, as well as to develop tools to advocate for religious accommodations. In addition, participants highlighted that Muslim student groups often function as a Third Space within secular schools and have the capacity for transformative change with female leaders at the helm. Finally, teachers who were interviewed pointed out the importance of religious accommodations in the lives of Muslim students as well as the need to develop uniform policies in schools targeting the implementation and monitoring of religious accommodation policies. The lack of understanding of those policies at the school level often translates into a lack of professional development on religious accommodations and an uneven implementation of policies across schools and teachers.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.024 | 0.026 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| 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".