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Record W4398245540 · doi:10.1017/s0714980824000205

Housing Instability and Policy Considerations for Equitable Aging in Place in Canada

2024· article· en· W4398245540 on OpenAlexaffabout
Michelle Wyndham‐West, James R. Dunn

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsMcMaster UniversityOntario College of Art and Design
Fundersnot available
KeywordsMainstreamCitizenshipIntersectionalityAging in placeSociologyInclusion (mineral)Gender studiesGerontologyPolitical scienceMedicinePolitics

Abstract

fetched live from OpenAlex

BACKGROUND: In this article, we apply a gender-based analysis plus framework to research the housing experiences of older, low-income adults living and aging in Hamilton. Low-income older adults with intersectional identities are at risk of not aging in place due to marginalization and housing instability. OBJECTIVE: Policy currently homogenizes the experience of aging by sidelining intersectional factors that have a bearing on aging well in place. The research aims to develop policy recommendations to address this gap. METHODS: Several methods captured the housing experiences of low-income older adults, including interviews, participant observation, and arts-based techniques. FINDINGS: Findings illustrate how gender and intersectional factors shape both housing trajectories and agentive practices low-income adults utilize to try to age well and in place. These strategies encompass practicing cultural citizenship, which is a claim for inclusion when excluded from mainstream ideals of aging in place. DISCUSSION: We provide policy recommendations informed by participants' lived experiences aimed at promoting equitable aging in place as fundamental to full citizenship.

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)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score0.951

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0250.008
Scholarly communication0.0080.003
Open science0.0020.007
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.019
GPT teacher head0.262
Teacher spread0.242 · 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 designNot applicable
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

Citations1
Published2024
Admission routes2
Has abstractyes

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Same venueCanadian Journal on Aging / La Revue canadienne du vieillissementSame topicMigration, Aging, and Tourism StudiesFrench-language works237,207