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Record W4392056192 · doi:10.2196/preprints.57590

Indigenous Community Views of Disability in Canada: Protocol for a Scoping Review (Preprint)

2024· review· en· W4392056192 on OpenAlexaboutno aff
Andrés Rojas-Cárdenas, Shaun Cleaver, Iván Sarmiento

Bibliographic record

Venuenot available
Typereview
Languageen
FieldHealth Professions
TopicInterpreting and Communication in Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsPreprintIndigenousProtocol (science)GeographyLibrary scienceSociologyPolitical scienceWorld Wide WebMedicineComputer scienceEcologyAlternative medicineBiology

Abstract

fetched live from OpenAlex

BACKGROUND Indigenous people do not necessarily view disability in the same way as do other groups. Indigenous concepts of disability are connected to their ancestral history, cultural customs, and environmental context. Some Indigenous languages do not contain a word equivalent to disability. Western approaches to disability seldom reflect the voices of Indigenous people. OBJECTIVE The objective of this scoping review is to collate the perspectives, concepts, and understandings of disability in Indigenous communities in Canada and to map the factors that influence social approaches to disability from an Indigenous perspective. METHODS Following the methodological framework for scoping reviews of Arksey and O’Malley, we will search electronic databases, including PubMed, Scopus, Web of Science, EBSCOhost ProQuest, Autochtonia, and APA PsycINFO. We will search gray literature through the Google search engine, conference abstracts, dissertation databases, government documents, and Indigenous organization websites. We will include quantitative, qualitative, and mixed methods studies in English and French. The included studies will describe Indigenous approaches to disability, as they are understood based on personal, cultural, and historical contexts. Two reviewers will use Covidence software (Cochrane) to remove duplicates, screen articles, record the step-by-step selection process, and extract data from the included articles. We will follow the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews) guidelines. We will present the findings in tables, charts, narrative summaries, and through fuzzy cognitive mapping. We will contextualize the literature’s findings by comparing them with the stakeholders in Quebec and provide a discussion to explore potential solutions for the identified factors. RESULTS An initial limited search was conducted in January 2024. The study will be conducted in 2025. Publication of the results is expected in late 2025. CONCLUSIONS We anticipate that the findings from the scoping review will be useful for professionals, researchers, policy makers, and Indigenous communities themselves interested in co-designing and implementing evidence-informed disability programs and services, which will prevent mismatches between the programs and the sociocultural context. We will disseminate the results of this review through workshops with the participating communities, direct engagement with relevant local stakeholders, and through conference presentations and publications in scientific journals. CLINICALTRIAL OSF Registries osf.io/9rzkx; https://osf.io/9rzkx INTERNATIONAL REGISTERED REPORT DERR1-10.2196/57590

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)0.108
metaresearch head score (Gemma)0.126
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: Protocol · Consensus signal: Protocol
Teacher disagreement score0.946
Threshold uncertainty score0.569

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1080.126
Meta-epidemiology (narrow)0.0050.008
Meta-epidemiology (broad)0.0140.013
Bibliometrics0.0220.021
Science and technology studies0.0090.006
Scholarly communication0.0100.010
Open science0.0060.008
Research integrity0.0090.010
Insufficient payload (model declined to judge)0.1040.020

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 head0.461
GPT teacher head0.627
Teacher spread0.166 · 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
GenreProtocol

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

Citations0
Published2024
Admission routes1
Has abstractyes

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