Aboriginal Women's Voices: Breaking the Cycle of Homelessness and Incarceration
Bibliographic record
Abstract
This paper explores the cycling between incarceration and homelessness among 18 women in Calgary, Alberta and Prince Albert, Saskatchewan employing community based research and arts-based research. Women who participated in the study highlighted the personal obstacles and societal barriers encountered before and after incarceration while identifying gaps in services. The objectives of the research were four fold: (1) to more fully understand the issues of homelessness and incarceration as it affects women, specifically Aboriginal women; (2) to work with women with lived experiences of homelessness and incarceration, community partners, and other collaborators to promote a greater understanding of these issues; (3) to provide recommendations and advocate for programming and policy changes to reduce the occurrence and harm associated with homelessness and incarceration for women; and (4) to effectively disseminate the findings to diverse audiences aimed at primary prevention strategies and improving services to reduce homelessness, recidivism, and other harms. Findings highlight the need for prevention and intervention supports for women living in poverty and the need to address the systemic and institutional racism and sexism that continue to deny women the right to a living income, safe and affordable housing, and human dignity.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.011 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 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".