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Record W4385851854 · doi:10.1080/09638288.2023.2246011

Barriers and facilitators to obtaining accessible housing among children, youth and young adults with disabilities and their families: a scoping review

2023· review· en· W4385851854 on OpenAlexafffund
Sally Lindsay, Sharmigaa Ragunathan, Kristina Fuentes, Yiyan Li

Bibliographic record

VenueDisability and Rehabilitation · 2023
Typereview
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsHolland Bloorview Kids Rehabilitation HospitalToronto Rehabilitation InstituteUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsService providerEquity (law)Inclusion (mineral)PsychologyService (business)Public relationsNursingMedicineBusinessPolitical scienceSocial psychology

Abstract

fetched live from OpenAlex

PURPOSE: Accessible housing is a fundamental human right and yet many children and youth with disabilities live in inaccessible, insecure, unaffordable and poor quality housing. The aim of our study was to understand the barriers and facilitators to obtaining accessible housing among children, youth and young adults with disabilities and their families. METHODS: We conducted a scoping review involving seven international literature databases from 2000 to 2022 that identified 38 studies meeting our inclusion criteria. RESULTS: The reviewed studies involved 10 countries over a 22-year period. Our review emphasized the following key trends: (1) barriers to obtaining accessible homes (i.e. common types of accessibility barriers, rates of inaccessible housing, factors affecting home accessibility), and negative impacts of inaccessible housing; and (2) rates and facilitators to obtaining accessible housing (i.e., common types of home modifications, enablers of home modifications) and positive impacts of accessible housing. CONCLUSIONS: Our findings highlight the barriers and enablers of obtaining accessible housing among children, youth and young adults with disabilities and their families and the critical need to support them in securing appropriate housing.

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)0.007
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.014
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0090.009
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.072
GPT teacher head0.422
Teacher spread0.350 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations8
Published2023
Admission routes2
Has abstractyes

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