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Record W2790105995 · doi:10.1093/geront/gnx212

Homeless for the First Time in Later Life: Uncovering More Than One Pathway

2017· article· en· W2790105995 on OpenAlexaff
Victoria Burns, Tamara Sussman

Bibliographic record

VenueThe Gerontologist · 2017
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsMcGill UniversityUniversity of Calgary
Fundersnot available
KeywordsDistressPsychologySocial supportSocial capitalPopulationLife course approachGerontologyDevelopmental psychologySociologySocial psychologyMedicineClinical psychologyDemography

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVES: Increasingly, researchers have recognized the heterogeneity with the growing population of older homeless adults. However, scant research has considered the complex pathways into first-time homelessness from the perspective of older adults themselves. RESEARCH DESIGN AND METHODS: Through in-depth interviews, this constructivist grounded theory study aimed to address this gap by exploring the pathways of 15 adults, aged 50 years and older, into late-life homelessness. RESULTS: Two divergent pathways were revealed: gradual and rapid. Individuals with gradual pathways endured many years of struggle related to poor housing conditions, lack of social support, and social distress. They had reached out for support on several occasions, with little success due to their limited social capital. In contrast, for individuals with rapid moves to homelessness, multiple unanticipated losses threatened their economic and social resources and they were propelled into homelessness with little warning. Despite having access to social networks to help buffer these losses, they preferred homelessness over asking for help and being perceived as dependent. DISCUSSION AND IMPLICATIONS: Our study revealed that different pathways into homelessness require divergent strategies of prevention and support. For individuals with gradual moves, strengthening pre-homeless social supports and addressing social distress may have mitigated the eventual loss of housing. For individuals with rapid pathways, homelessness may have been prevented if independence and self-sufficiency were less idealized in our society.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.191
Threshold uncertainty score0.998

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 studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.108
GPT teacher head0.405
Teacher spread0.296 · 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.

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

Citations39
Published2017
Admission routes1
Has abstractyes

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