Can Canada become home without a house? The intersectional challenges to housing and settlement among refugees
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
Service providers’ crucial roles in securing housing for refugees in Canada is a topic scantly addressed in the broader literature. A focus on frontline workers in the housing and settlement sectors offers a productive analytic lens to map the critical link between service provision and housing access for refugees. Based on thirteen semi-structured interviews with service providers across nine organizations in Toronto, Canada, this study illuminates housing access barriers, such as lack of affordable housing and perceived housing discrimination. Furthermore, this paper unearths the intersectional praxis of frontline workers. Broadening the analytical frame to include an intersectional lens centring race, class, immigration status, and gender, this paper enriches current scholarship on 1) housing inequality, 2) refugee settlement, and 3) intersectionality. This paper also makes an epistemic intervention in the evolving field of housing studies at critical junctures. While this research was conducted prior to the COVID-19 pandemic, this study reflects on the added complexity of the pandemic to refugees’ housing access.
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 | 0.001 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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