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Record W4401172151 · doi:10.5206/ijoh.2023.3.16976

The Intersections and Invisibilities of Rurality, Houselessness, and Health

2024· article· en· W4401172151 on OpenAlexaffvenueabout
Jan Marie Graham, Candy Jones, Mei Seung Lam, Grace Stone

Bibliographic record

VenueInternational Journal on Homelessness · 2024
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsBrandon University
Fundersnot available
KeywordsRuralityGeographyMedicineRural area

Abstract

fetched live from OpenAlex

The purpose of the qualitative research study was to identify factors and challenges that led to insecure housing among rural residents in Manitoba, Canada. Using a case study approach, five participants and two key informants were interviewed. When the participants were asked about personal factors and challenges affecting housing insecurity in rural Manitoba, their responses were focused on past and current health issues. Health, including acute and chronic conditions, became the critical intersection of housing insecurity and rurality. Systemic barriers such as invisibility, stigma, and lack of access to healthcare services in the rural setting created additional challenges for participants who required assistance and support to obtain and maintain stable housing. Integration of and collaboration among health, housing, and social service providers and informal supports in the rural community are required to address housing insecurity. Rural communities tend to be unique, therefore, strategies and interventions to diminish or prevent houselessness need to be flexible, targeted, and community-specific.

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 score0.301
Threshold uncertainty score0.630

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.441
Teacher spread0.377 · 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

Citations2
Published2024
Admission routes3
Has abstractyes

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