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Record W3041429842

Developing a cultural safety intervention for clinicians: process evaluation of a pilot study in the Northwest Territories

2019· dissertation· en· W3041429842 on OpenAlexaboutno aff
Karen E. Hall

Bibliographic record

VenueUVic’s Research and Learning Repository (University of Victoria) · 2019
Typedissertation
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsnot available
Fundersnot available
KeywordsIntervention (counseling)Process (computing)MedicineMedical educationGeographyPsychologyEngineeringNursingComputer science
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this study was to (1) explore the experiences and perceptions of clinicians who participated in a pilot cultural safety intervention in the Northwest Territories and (2) to make recommendations to pilot intervention in terms of design, content, and delivery. Indigenous and process evaluation research principles underlined this qualitative research project. Data was collected through semi-structured interviews with eight clinicians who participated in the pilot intervention. Findings, identified through thematic analysis, reveal that participants were satisfied with many aspects of the pilot intervention, including key learnings, but also experienced challenges. Among these challenges were dominant discourses that suppress conversations about power and privilege. These research results will inform the sponsors of this project to further refine the pilot training model to enhance clinician learning and engagement. This study may be insightful to researchers and program developers in other jurisdictions.

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)0.073
metaresearch head score (Gemma)0.076
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.970
Threshold uncertainty score0.385

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0730.076
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0060.003
Scholarly communication0.0040.002
Open science0.0030.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.130
GPT teacher head0.438
Teacher spread0.307 · 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 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

Citations0
Published2019
Admission routes1
Has abstractyes

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