Between the Abuser and the Street: An Intersectional Analysis of Housing Challenges for Abused Women
Bibliographic record
Abstract
This article provides an overview of the limited housing options available for abused women in Canada. The author explores the erosion of a commitment to housing for Canada’s marginalized, the need for an intersectional analysis to fully appreciate the impact of this erosion, and then addresses the results: the exceedingly limited housing possibilities for abused women (shelters, second and third stage housing, social housing and the private market). The author draws upon qualitative interviews with abused women; government and non-governmental agency reports to argue that abused women in Canada, especially those marginalized by race and colonialism, have few alternatives between their abuser and living on the street. Résumé Cet article fourni un aperçu des options de logement limitées disponibles pour les femmes violentées au Canada. L’auteur explore l’érosion de l’engagement au logement pour les personnes les plus marginalisées au Canada, et la nécessité d’une analyse intersectionelle afin de bien comprendre l’impact de cette érosion. Le résultat de cette analyse est inévitablement que les possibilités de logement sont extrêmement limitées pour les femmes violentées (les abris, les refuges de deuxième et troisième étapes, le logement social, et le marché immobilier privé). L’auteur utilise des entrevues qualitatives avec des femmes violentée et des rapport gouvernementaux et d’organisations non-gouvernementales pour démontrer que pour les femmes violentées au Canada, surtout celles qui sont également marginalisées par la race et le colonialisme, il existe peu d’alternatives entre leurs abuseur et vivre dans la rue.Mot-Clefs: violence domestique; pauvreté genrée; discrimination; politique de logement.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.034 | 0.021 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.003 | 0.015 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".