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Record W2661694775 · doi:10.1177/1177180117714411

Ethical spaces and places: Indigenous cultural safety in British Columbia health care

2017· article· en· W2661694775 on OpenAlexafffundabout
Margo Greenwood, Nicole Lindsay, Jessie King, David Loewen

Bibliographic record

VenueAlterNative An International Journal of Indigenous Peoples · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsSimon Fraser UniversityUniversity of Northern British ColumbiaAthabasca UniversityUniversity of British ColumbiaAboriginal Affairs Northern Dev Canada
FundersPublic Health Agency of Canada
KeywordsIndigenousCultural safetySociologyTraditional knowledgeHealth careSpace (punctuation)Public relationsPolitical scienceEnvironmental ethicsLawEcology

Abstract

fetched live from OpenAlex

This article discusses transformations underway within Indigenous health in northern British Columbia and Canada. We highlight two organizations that are working to create ethical space and cultural safety at the intersections of Indigenous knowledge about health and wellness, Western medicine, and healthcare services for Indigenous peoples in Canada. The article argues that the cultural, organizational, and systemic transformations necessary to address the deep and ongoing health inequities experienced by Indigenous populations should be rooted in Indigenous knowledges and should prioritize Indigenous voices, values, and concepts. Cultural safety, ethical space, and Two-Eyed Seeing are three examples of ideas anchored in Indigenous knowledges that speak to relationships at the interface of different systems of knowledge. We offer some examples of how a public health knowledge translation centre and a regional health service delivering organization are actualizing these concepts in their work nationally and regionally in northern British Columbia, Canada.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.547
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0090.001
Scholarly communication0.0020.002
Open science0.0020.000
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 head0.020
GPT teacher head0.364
Teacher spread0.344 · 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 designQualitative
Domainnot available
GenreEmpirical

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

Citations73
Published2017
Admission routes3
Has abstractyes

Explore more

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