An exploration of safe and acceptable housing for racialized women who have experienced intimate partner violence within the housing crisis in Vancouver
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
In the era of The Highway of Tears, the Missing and Murdered Girls and Women in the\nDowntown Eastside, stories like Tina Fontaine, and the #MeToo Movement, this research\nexplores the personal political stories of racialized women who have experienced intimate\npartner violence within the housing crisis in Vancouver. To capture racialized women’s voices of\nresilience, pain, growth, trauma, and over coming, this research uses Feminist Participatory\nAction and Photovoice methods. The purpose of this method was to illuminate authentic, and on\nthe ground knowledge. The findings from their narratives and courage that arose were conditions\nof unsafe and unacceptable housing after changing living situations, how the impact of violence\naffected their health, and how resilience and self-actualization grew from adversity. These\nfindings and discussion with the participants concluded that policies that address these issues\nneed to include action towards the perpetrators. Policies need to call out and make men\naccountable. Policies need to empower racialized women with just wages and employment,\nincreased stock of safe and acceptable housing, and appropriate treatment and resources for\nracialized women who have been abused.
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 | 0.000 | 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 | 0.002 |
| Scholarly communication | 0.000 | 0.003 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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