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Record W2789638469 · doi:10.1002/ajcp.12243

Perceptions of Housing and Shelter among People with Histories of Unstable Housing in three Cities in Canada: A Qualitative Study

2018· article· en· W2789638469 on OpenAlexafffundabout
John Sylvestre, Fran Klodawsky, Evie Gogosis, John Ecker, Alexia Polillo, Konrad Czechowski, Ayda Agha, Sneha Shankar, Matthew J. To, Anne Gadermann, Anita Palepu, Stephen W. Hwang

Bibliographic record

VenueAmerican Journal of Community Psychology · 2018
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsUniversity of TorontoSt. Paul's HospitalYork UniversityUniversity of British ColumbiaCentre for Advancing Health OutcomesSt. Michael's HospitalCarleton UniversityUniversity of Ottawa
FundersCanadian Institutes of Health Research
KeywordsPublic housingPovertySocioeconomic statusQualitative researchHealth psychologyGerontologySocioeconomicsPublic healthEnvironmental healthSocial determinants of healthPsychologySociologyEconomic growthMedicinePopulationNursing

Abstract

fetched live from OpenAlex

Housing is a key social determinant of health that contributes to the well-documented relationship between socioeconomic status and health. This study explored how individuals with histories of unstable and precarious housing perceive their housing or shelter situations, and the impact of these settings on their health and well-being. Participants were recruited from the Health and Housing in Transition study (HHiT), a longitudinal, multi-city study that tracked the health and housing status of people with unstable housing histories over a 5-year period. For the current study, one-time semi-structured interviews were conducted with a subset of HHiT study participants (n = 64), living in three cities across Canada: Ottawa, Toronto, and Vancouver. The findings from an analysis of the interview transcripts suggested that for many individuals changes in housing status are not associated with significant changes in health due to the poor quality and precarious nature of the housing that was obtained. Whether housed or living in shelters, participants continued to face barriers of poverty, social marginalization, inadequate and unaffordable housing, violence, and lack of access to services to meet their personal needs.

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 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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.382

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.065
GPT teacher head0.448
Teacher spread0.382 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations24
Published2018
Admission routes3
Has abstractyes

Explore more

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