Domestic Violence in Immigrant Communities : Case Studies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Domestic Violence in Immigrant Communities: Case Studies” is a freely accessible eCampus Ontario Pressbook containing case studies of immigrant women experiencing domestic violence to be used as educational materials. The contents were created by analysing closed legal case files of 15 immigrant women living in Ontario who experienced domestic violence. The comprehensive case studies that emerge from this research present domestic violence experienced by immigrant women in all its complexity, highlighting their unique vulnerability at the intersections of race, gender and immigration status. The book also highlights the different legal processes that these women encounter in seeking justice and the challenges they face in relation to re-establishing their own lives and the lives of their children. In addition to the cases, the book contains questions for reflection; a description of legal processes involved in DV cases, and a glossary of the terms used throughout the case studies. This interactive Pressbook is an ideal resource for social work and legal practitioners, including students in social service work, social work and law programs, in order to increase their understanding about the complexity of domestic violence cases in immigrant families and develop strategies for culturally informed interventions.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 it