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Record W3048511438 · doi:10.1002/jcop.22423

Finding home: Community integration experiences of formerly homeless women with problematic substance use in Housing First

2020· article· en· W3048511438 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.

Bibliographic record

VenueJournal of Community Psychology · 2020
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCommunity integrationPovertyHousing FirstSocial integrationPsychologySubstance useGerontologySociologyMental healthMedicineEconomic growthPsychiatryMental illness

Abstract

fetched live from OpenAlex

AIMS: This study explored community integration among women participating in a Housing First program. Physical, social, and psychological dimensions of community integration were examined. METHODS: This study used neighborhood walk-along and photo-elicitation interviews to explore 16 formerly homeless women's experiences of community integration. RESULTS: Participants described limited community integration. Health, poverty, service inaccessibility, and safety concerns shaped how they took part in activities in their neighborhoods. Participants primarily socialized with people in their buildings, though some preferred to keep to themselves. There was minimal sense of neighborhood belonging, with participants not interested in belonging to a community and being judged by others. CONCLUSION: Housing First promoted housing stability but did not contribute to community integration. Participants did not express a strong desire to integrate in their communities. Future research should consider the extent to which community integration remains a priority for marginalized populations, such as formerly homeless women.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.093
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.003
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 head0.189
GPT teacher head0.439
Teacher spread0.250 · 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