Intimate Partner Violence among Canadian Muslim Women
Bibliographic record
Abstract
An examination of the interaction of pre- and post-migration stressors is critical to understanding Canadian Muslim immigrant women's experience of intimate partner violence (IPV). This study uses a dominant qualitative design, supplemented by quantitative data to understand eight Canadian Muslim immigrant women's experience of IPV from six countries of origin. Five themes were identified: (a) childhood exposure to trauma and violence, (b) iron cage of society, (c) the fusion of love and violence, (d) post-migration challenges and assistance, and (e) toll and consequences of IPV. These themes are described to illustrate the trajectory in the development of IPV and the participants' eventual decision to leave their relationship. Pre-migration experiences included adverse childhood experiences, family history of IPV, and difficulty with help-seeking for IPV. Post-migration challenges of language difficulties, lack of social connections, internalized familial patriarchal values, and sexism influenced women's help-seeking and decision-making. Results from this sample suggested that immigrant Muslim women are likely more affected by IPV in comparison to Canadian-born Muslim women, experienced more stressors, less support, delayed help-seeking process, and more serious mental health consequences. Quantitative measures revealed negative effects of IPV on women's mental and overall health. The roles of ethnic communities, religious institutions, law enforcement, and service providers in supporting Canadian Muslim women with experience of IPV are discussed.
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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 | 0.002 |
| Science and technology studies | 0.011 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".