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Record W1830833650 · doi:10.18357/ijih91201212390

Cultural Safety: A Framework for Interactions between Aboriginal Patients and Canadian Family Medicine Practitioners

2013· article· en· W1830833650 on OpenAlexaffvenueabout
Ava C. Baker, Audrey R. Giles

Bibliographic record

VenueInternational Journal of Indigenous Health · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsUniversity of OttawaUniversity of Calgary
Fundersnot available
KeywordsObligationCultural safetySAFERCurriculumMedicineFamily medicineColonialismAffect (linguistics)NursingHealth careMedical educationPsychologyPolitical scienceLawPedagogy

Abstract

fetched live from OpenAlex

Current approaches for non-Aboriginal family medicine practitioners encountering Aboriginal patients are based in cultural sensitivity, which is an inadequate model to satisfy the obligation of family medicine residents and physicians to Aboriginal health in Canada. In this paper, we advocate for the adoption of a cultural safety approach as a superior method for training family medicine residents in interactions with Aboriginal patients. Family medicine programs can integrate cultural safety into their curriculum by teaching residents about the colonial history of Aboriginal people to foster understanding of power imbalances. This knowledge can then be used to help family medicine residents learn to identify their own biases that may affect the care of Aboriginal patients. By advocating for family medicine practitioners to use cultural safety to challenge their own concepts of culture and to address their own worldviews, patient encounters between non-Aboriginal family physicians and Aboriginal patients may be made safer and more productive.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.667
Threshold uncertainty score0.868

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.043
GPT teacher head0.429
Teacher spread0.387 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations20
Published2013
Admission routes3
Has abstractyes

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