Designing Common Spaces for Women-Centered Supportive Housing : A Practical Application of Intersectional Feminist Analysis
Bibliographic record
Abstract
Non-profit supportive housing plays a critical role in the housing spectrum by providing resources and shelter for those who may struggle to thrive in the private market either long term or temporarily. To ensure the viability of the supportive housing model over the life of a building, housing providers need to contend with the complexity of current and future residents and develop housing that supports diversity and ever-changing needs. This report delivers insights into the development of women-centered supportive housing through an investigation into the livability of one of Atira Women’s Resource Society’s buildings in Downtown Vancouver called Sorella. Specifically, this report focuses on the ability of Sorella’s common spaces to support the women and children who live there. Drawing on one of Atira’s primary values, inclusive feminism, this report applies intersectional feminist analysis to an examination of the building’s design. Intersectionality is the recognition that race, class, and gender produce complex sites of marginalization that lead individuals to experience the world around them in distinct ways, something which can and should be applied to the world of design. Ultimately, this report offers recommendations for designing women-centered supportive housing that can be taken into consideration by other housing providers looking to apply intersectionality to their supportive housing project. By combining a literature review with lessons learned from the lived experiences of women in supportive housing
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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 | 0.015 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.011 | 0.020 |
| Scholarly communication | 0.012 | 0.010 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".