“When We Do Evict Them, It’s a Last Resort”: Eviction Prevention in Social and Affordable Housing
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
Evictions are a common contributing factor to homelessness and are experienced overwhelmingly by vulnerable populations, including low-income households, single parents, and minority groups. At the same time, social and affordable housing providers serve increasingly vulnerable populations. Although all evictions are potentially problematic, those that occur in social and affordable housing can carry particularly severe consequences. Little research exists on evictions in social and affordable housing, and there is even less on eviction prevention practices in this sector. This project seeks to fill this research gap by exploring emerging eviction prevention practices in social and affordable housing in Edmonton, Alberta, Canada. Our findings show that evictions are a complicated process for both tenants and housing providers, and most commonly occur because of rent arrears. Housing providers try to prevent evictions, and toward this end, they have adopted four broad eviction prevention practices, centered on financial management, regular communication with tenants, provision of tenant supports, and community development. However, housing providers are often constrained in their ability to prevent evictions, in particular by human resource and financial limitations. These challenges lead to complex negotiations between housing providers’ social mandates to provide affordable housing to vulnerable households and their regulatory and operational environments.
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 | 0.001 |
| Science and technology studies | 0.001 | 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