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Record W4280538008 · doi:10.1017/s0714980822000125

Aging in Place in Social Housing: A Scoping Review of Social Housing for Older Adults

2022· review· en· W4280538008 on OpenAlex
Christine Sheppard, Carol Kwon, Matthew Yau, Jorge Rios, Andrea Austen, Sander L. Hitzig

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

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2022
Typereview
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsToronto Rehabilitation InstituteUniversity of TorontoHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsLeasehold estateStaffingAffordable housingRentingBusinessAging in placePublic housingUnit (ring theory)Social WelfareVulnerability (computing)Rental housingEconomic growthGerontologyMedicinePsychologyNursingPolitical scienceEconomics

Abstract

fetched live from OpenAlex

Access to affordable housing is a rising concern, and social housing is one approach to support low-income, older renters. A scoping review was undertaken to understand the characteristics of older tenants and social housing services to identify strategies to promote aging in place. Seven peer review databases were searched to identify relevant articles. A total of 146 articles were included. Almost all examined socio-demographic and health characteristics of older tenants, while 72 per cent examined social housing services, including eligibility policies, staffing, and access to on-site services. This review points to a high vulnerability among older tenants and highlights the importance of co-locating services on-site with a tenant-facing support staff to identify vulnerable tenants and link them to services. More research on tenancy issues (e.g., unit condition, rental management) is needed to identify new opportunities for social housing landlords to help older tenants age in place.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.806
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.034
GPT teacher head0.315
Teacher spread0.281 · 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