A policy review on the visibility of migrant women exposed to, and at risk of gender-based violence: Considerations for inclusive and equitable policies and programs in Canada
Bibliographic record
Abstract
Gender based violence (GBV) has had distinct and disproportionate impact on the health and wellbeing of migrant women in Canada. Currently, there is dearth of documented information concerning the inclusion of migrant women in GBV-related public policies in Canada. The present study examines the extent to which Canadian public policies reflect and address the needs of migrant women who have experienced GBV. We conducted a policy review of publicly available documents at federal and provincial (British Columbia and Ontario) levels. Migrant women's visibility in the Canadian policy landscape remains limited, as their unique needs are often grouped into broader categories such as 'newcomers, or visible minorities'. This approach fails to acknowledge their distinct lived experiences. Regardless of the federal and provincial efforts in developing policies targeted at GBV prevention, several significant policy gaps came to light. These include the absence of well-defined protective measures for migrant women in precarious employment as well as the hurdles posed by immigration restrictions that pose a significant challenge for those seeking to leave abusive relationships, particularly in cases of dependent migration status. The highlighted policy gaps have negative impact on migrant women's social functioning, including limiting access to services and opportunities, and this has adverse effects on their overall health and wellbeing. To ensure the effectiveness and significance of GBV policies, it is imperative that policymakers acknowledge and target the distinct vulnerabilities and needs of migrant women who experience GBV. The inclusion of an intersectional perspective in the formulation and implementation of policies is essential, as it facilitates the recognition of the distinct needs of migrant women. Failure to acknowledge these varying needs and the real-life experiences of this diverse group can jeopardize the comprehensive and successful implementation of GBV response policies, not only in Canada but also worldwide. Prioritizing this aspect is crucial.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.027 | 0.057 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.015 | 0.023 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".