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 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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| 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".