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Record W4392559042 · doi:10.1177/11771801241235352

Culturally safe health and social service access for urban Métis women: a scoping review

2024· review· en· W4392559042 on OpenAlexaffabout
Carly Jones, Renée Monchalin, Janet Smylie

Bibliographic record

VenueAlterNative An International Journal of Indigenous Peoples · 2024
Typereview
Languageen
FieldSocial Sciences
TopicMigration, Identity, and Health
Canadian institutionsPublic Health OntarioUniversity of TorontoSt. Michael's HospitalUniversity of Victoria
Fundersnot available
KeywordsSocial workService (business)BusinessSociologyInternet privacyPublic relationsPolitical scienceComputer scienceMarketing

Abstract

fetched live from OpenAlex

Métis people, one of Canada’s three constitutionally recognized Indigenous groups, experience detrimental impacts on their health, identity, and access to culturally safe services as a result of colonial systems and policies. There is also a critical gap in research surrounding the health of urban Métis women. This scoping review aims to explore the experiences of Métis women seeking to access culturally safe health and social services in urban settings across Canada. To conduct this knowledge synthesis, the authors applied a decolonizing methodological approach to Arksey and O’Malley’s framework for conducting a scoping search. A thematical analysis of relevant literature identified three interwoven themes: (a) racism, discrimination, and marginalization; (b) jurisdictional barriers to health and social services; and (c) lack of culturally safe care. The article concludes with opportunities and recommendations for further development to support culturally safe health and social service access for urban Métis communities.

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)0.005
metaresearch head score (Gemma)0.019
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 score0.941
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0080.011
Science and technology studies0.0010.001
Scholarly communication0.0030.002
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 head0.118
GPT teacher head0.491
Teacher spread0.373 · 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

Citations2
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueAlterNative An International Journal of Indigenous PeoplesSame topicMigration, Identity, and HealthFrench-language works237,207