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Record W4412653443 · doi:10.1111/jar.70101

Scoping Review on the Use of Navigation Services to Improve Accessibility of Programming for People With Intellectual Disabilities

2025· review· en· W4412653443 on OpenAlexafffundabout
Jennifer Christianson‐Barker, Arielle Lomness, Nour Youssef, Dina Yaghi, Florence Ng, Laura Hockman, Rachel A. Mills, Rachelle Hole

Bibliographic record

VenueJournal of Applied Research in Intellectual Disabilities · 2025
Typereview
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British ColumbiaOkanagan University CollegeInterior Health
FundersAccessibility Standards Canada
KeywordsPsychologyIntellectual disabilityMultiple disabilitiesApplied psychologyPsychiatryDevelopmental psychology

Abstract

fetched live from OpenAlex

BACKGROUND: Canadians with intellectual disabilities experience barriers in accessing federal government services and programmes. Evolving from established models of patient navigation, service navigation has emerged as a potential way to address systematic barriers. METHODS: A scoping review was conducted with a search strategy implemented across six databases, including APA PsycInfo, Medline, CINAHL, Embase, Scopus, and ProQuest Sociology Collection. RESULTS: One hundred and twelve studies were identified as relevant to the research question. Despite variance in terminology, definition, and practice, included studies affirm the need for navigational support and highlight the potential impact of support. CONCLUSIONS: The included literature identifies navigation support as a promising practice to remove barriers and advance access to programs and services for people with intellectual disabilities. Additional study is needed to specify the impact related to accessing federal programs and services in a Canadian context.

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)0.009
metaresearch head score (Gemma)0.104
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
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 score0.210
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.104
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0020.004
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.260
GPT teacher head0.478
Teacher spread0.219 · 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 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

Citations2
Published2025
Admission routes3
Has abstractyes

Explore more

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