MétaCan
Menu
Back to cohort
Record W4412417975 · doi:10.1177/10784535251357331

Centering First Voice in Indigenous Ways of Knowing in a Foundational Indigenous Health Course

2025· article· en· W4412417975 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCreative Nursing · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsIndigenousBachelorCurriculumSociologyHealth careEmbodied cognitionPedagogyNursingPolitical scienceMedicineLaw

Abstract

fetched live from OpenAlex

In Fall 2024, the University of Calgary Faculty of Nursing launched its inaugural Indigenous health course within the new Bachelor of Science in Nursing curriculum. Rather than simply providing a stand-alone course, this first-year course provides the foundation for ongoing learning and transformation needed to prepare nursing students to provide culturally safe care to Indigenous peoples. In this article, we will share the curriculum design process and implementation of the first iterations of the course. We will highlight the long-standing relationships and trust built over years that made it possible for a group of women (a Mi'kmaw/Irish/English settler scholar, a Scottish/German settler nurse scholar, and a Lakota/Dakota Elder, and scholar) to work together from course design to implementation and validation. Through the embodied practice of "first voice" as eloquently articulated in the epilogue by Graveline, we are leading change through stories of lived experiences that enable us to forefront Indigenous ways of knowing, being, doing, and connecting from our unique locations.

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)0.001
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 score0.676
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.000
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 head0.031
GPT teacher head0.367
Teacher spread0.335 · 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