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Record W2896690323 · doi:10.1177/0840470418794204

Enabling cultural safety in Indigenous primary healthcare

2018· article· en· W2896690323 on OpenAlexaff
Gertie Mai Muise

Bibliographic record

VenueHealthcare Management Forum · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsRoyal Roads UniversityWestern University
Fundersnot available
KeywordsIndigenousCultural safetyHealth careMainstreamHarmPublic relationsSociologyCultural diversityDiversity (politics)NursingEconomic growthMedicinePolitical science

Abstract

fetched live from OpenAlex

The Aboriginal Health Access Centre (AHAC) and Aboriginal Community Health Centre Model of Wholistic Health and Wellbeing is critical to addressing inequities and barriers that limit access to comprehensive primary healthcare for Indigenous people. Even with this model in place, there are multiple points of intersection with mainstream healthcare service providers across health sectors. Further, there is considerable cultural diversity among Indigenous healthcare staff and professional groups. These factors place Indigenous people at risk of culturally unsafe experiences causing harm. Given this, it is essential that leaders focus on cultural safety education to address both intercultural frictions within the Indigenous centres and systemic and structural racism widespread within the broader healthcare system. This article explores how one AHAC has undertaken to examine these complex challenges, while offering some direction on leadership within the sector.

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
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.929
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0100.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.022
GPT teacher head0.325
Teacher spread0.304 · 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 designNot applicable
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

Citations25
Published2018
Admission routes1
Has abstractyes

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