In search of interdisciplinary, holistic and culturally informed services: The case of racialized immigrant women experiencing domestic violence in Ontario
Bibliographic record
Abstract
Abstract Domestic Violence (DV) is a social issue concerning all women, but not all women are oppressed or impacted in the same way. This paper draws on an analysis of fifteen closed Family Law case files of racialized immigrant women in Ontario who experienced DV to examine gaps in services and suggest interventions to fill these gaps. The findings reveal that these women and their children experience multiple and intersecting oppressions. Significantly, few existing services recognize the multiple intersecting vulnerabilities, systemic barriers in the host country, or other socio‐political, economic, and cultural realities these women face. Our research reveals a lack of coordination between different institutions providing services to these women. To respond to these gaps, the authors recommend developing interdisciplinary, holistic and culturally‐informed services offered at a single location to support racialized immigrant women and their children as they navigate the complicated path out of the traumatic entrapment of DV.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".