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Record W2903166612 · doi:10.1177/0840470418807948

Modelling change and cultural safety: A case study in northern British Columbia health system transformation

2018· article· en· W2903166612 on OpenAlex
Margo Greenwood

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueHealthcare Management Forum · 2018
Typearticle
Languageen
FieldHealth Professions
TopicPublic Health Policies and Education
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousVisionSituatedCultural safetyPoliticsSociologyConceptual frameworkHealth carePublic relationsPolitical scienceSocial scienceLawAnthropology

Abstract

fetched live from OpenAlex

The relationship that Indigenous Peoples have to the Canadian healthcare system makes the system's weaknesses and complexities obvious. The long-standing lack of consideration to the historical and contemporary realities of Indigenous Peoples has resulted in miscommunication, misunderstanding, mistrust and racism. Health leaders, including health authorities, across the province are thus challenged to ensure that culturally safe environments are available and culturally safe practices are being used. This article begins with an overview of contemporary social political contexts in which Indigenous individual and collective realities are situated. Following is a conceptual discussion focused on health system change and the experiences of Indigenous Peoples. Change at structural, systemic and individual levels is the focus of the change model presented in this article. Throughout this exploration, examples of concrete actions currently underway in a health authority are offered. The article concludes with visions for future change.

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.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.609
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
Bibliometrics0.0000.001
Science and technology studies0.0030.000
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 head0.114
GPT teacher head0.418
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