Exploring the Dynamics of Muslim Conversion in Ottawa: Processes, Challenges, and Social Integration
Bibliographic record
Abstract
This study explores the experiences of Muslim converts in Ottawa, with a particular focus on the processes of conversion, the challenges faced by converts, and their social integration within Canadian society. Through in-depth interviews with 15 converts, the research dives into the role of Islamophobia, societal stereotypes, and cultural identity in shaping the conversion experience. It examines how negative perceptions of Islam, such as the association with terrorism or the belief that all Muslims are Arabs, affect the decision to embrace Islam, and how converts navigate these stereotypes. The study also looks at the intellectual motivations behind conversion and how converts reconcile their new religious identity with their previous cultural and social contexts. Additionally, the research investigates the practical challenges faced by converts, such as adapting to Islamic practices, dealing with the language barrier, and finding appropriate support networks. By contributing to the literature on Muslim conversion, particularly within the Canadian context, this study highlights the need for greater support for converts, including access to educational resources, mentorship, and community-building initiatives, to foster a more inclusive and supportive environment for Muslim converts in Canada.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.027 | 0.015 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".