Religious Diversity and Teacher Education: Experiences and Perspectives of Muslim Women as Teacher Candidates in Pre-service Programs
Bibliographic record
Abstract
This qualitative research project explores the insights of Muslim women as teacher candidates completing pre-service programs in Ontario. Ontario schools cater to students from many ethnic, cultural and religious groups, including a sizable Muslim population. Muslims make up 4.6% of Ontario’s population with the highest concentration of Muslims in the GTA (Statistics Canada, 2011). The Muslim population in Ontario is of a significant enough number that, in a post 9/11 world, it has prompted discussion of how to integrate Muslim populations in Canada. In this research, I explore how Islamophobic sentiment is experienced in Ontario-based teacher education programs. I use Critical Race Theory (CRT) and Critical Race Feminism (CRF) to analyse and deconstruct experiences of female Muslim teacher candidates in pre-service programs. I discuss how Muslims are a racialized group that experience racism as discussed by critical race literature; however, there is a marked difference between how Muslim men and women experience gendered Islamophobia. By using in-depth research-based interviews, I explore how Muslim women perceived diversity, education, accommodations and Islamophobia in pre-service programs. This study adds to the current literature on critical race theory and anti-racist practices in education. Furthermore, this study adds to the voice of Muslim women in the discussion of diversity and inclusivity in educational institutions.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".