Re-establishing their Lives: Issues Relating to Affordable Housing for Women and their Children Escaping Violent Intimate Partner Relationships in Northern Manitoba
Bibliographic record
Abstract
Housing affordability is a significant and growing issue across northern Manitoba communities. One population impacted by the lack of safe and affordable housing is women (and their children) leaving violent and abusive relationships. Through in-depth qualitative interviews with fourteen women staying in women’s shelters in the cities of Thompson and Winnipeg, Manitoba, this research project focused on exploring the journeys women make as they seek safety and shelter for themselves and their children, and their reasons for making these transitions. The women’s interviews revealed: 1) the centrality of the notion of home for women establishing safety for themselves and their children; and 2) the complex transitions and geographic moves that women make in search of the idea of home and safety. The stories of their journeys point to severe issues regarding availability of affordable, safe housing in northern Manitoba, the lack of northern transportation services to access shelters, and the significant absence of formal support on First Nation communities. The research reiterates that there is a need for proactive service responses to violence against women and children. Such a coordinated response needs to begin in the northern communities themselves, with links to regional services and supports when appropriate.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.012 | 0.011 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| 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".