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Record W2756020101 · doi:10.1002/jcop.21911

A quasi‐experimental evaluation of rent assistance for individuals experiencing chronic homelessness

2017· article· en· W2756020101 on OpenAlexaffabout
Courtney Pankratz, Geoffrey Nelson, Marie Morrison

Bibliographic record

VenueJournal of Community Psychology · 2017
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsRegional Municipality of WaterlooWilfrid Laurier University
Fundersnot available
KeywordsHousing FirstPsychologyQuality (philosophy)Social supportSocial securityGerontologyMedicineEconomicsSocial psychologyPsychiatryMental health

Abstract

fetched live from OpenAlex

Abstract This study investigated the effectiveness of the addition of rent assistance to existing housing and support services in the Waterloo region of Ontario for people experiencing chronic homelessness. A nonequivalent comparison group design was used to compare the outcomes between (a) participants selected to receive rent assistance plus support services (n = 26) and (b) participants receiving support services only (n = 25). Participants were interviewed at baseline and 6 months later. Participants in the rent assistance condition showed significantly greater improvements over time relative to the comparison group in housing stability and quality of life. They also demonstrated significantly better perceived housing quality, and there were trends of greater improvement in community functioning, social support, and food security. The findings demonstrate that rent assistance is associated with superior program outcomes for people experiencing chronic homelessness and is a necessary component of supported housing models, such as Housing First.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: Non-randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.271
GPT teacher head0.579
Teacher spread0.308 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations30
Published2017
Admission routes2
Has abstractyes

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