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Record W3162331485 · doi:10.1080/10511482.2021.1900890

“When We Do Evict Them, It’s a Last Resort”: Eviction Prevention in Social and Affordable Housing

2021· article· en· W3162331485 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHousing Policy Debate · 2021
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsUniversity of Alberta
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsEvictionAffordable housingBusinessNegotiationPublic housingResource (disambiguation)Economic growthFinanceEconomicsPolitical science

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.275
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.124
GPT teacher head0.440
Teacher spread0.316 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it