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Record W4309258087 · doi:10.17483/2368-6669.1359

“All My Relations”: Elders’ Teachings Grounding a Decolonial Bachelor of Nursing Program Philosophy

2022· article· en· W4309258087 on OpenAlexafffundvenue
Andrea Kennedy, Lynn Headley, Elizabeth Van Den Kerkhof, Giuliana Harvey, Asfa Riyaz, Roisin Dillon, Grandmother Doreen Spence, Elder Roy Bear Chief

Bibliographic record

VenueQuality Advancement in Nursing Education - Avancées en formation infirmière · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsMount Royal University
FundersMount Royal University
KeywordsBachelorIndigenousEquity (law)CurriculumSociologySafeguardingNursingEngineering ethicsPedagogyMedicinePolitical scienceLawEngineering

Abstract

fetched live from OpenAlex

The aim of this paper is to share the process of developing a decolonial nursing program philosophical framework. Following cultural protocol, we asked two highly respected local Indigenous Knowledge Holders and retired nurses to serve as Presiding Elders for the Bachelor of Nursing (BN) Curriculum Redesign Committee. Select committee members engaged with the Elders in a series of gatherings. Elders gifted “All My Relations” as the unifying basis for their teachings of “The Four Realms” and “Ani to Pisi -Spiderweb” as the new BN program philosophical framework: local Indigenous teachings provide the standpoint for respectfully engaging with interconnected multiple worldviews to advance equity and restore wellness in nursing education. Collaboration with Elders provides an invaluable opportunity for decolonization in nursing workplaces and learning spaces.

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)0.010
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0090.014
Scholarly communication0.0030.004
Open science0.0010.008
Research integrity0.0010.004
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 head0.080
GPT teacher head0.454
Teacher spread0.373 · 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 designTheoretical or conceptual
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

Citations3
Published2022
Admission routes3
Has abstractyes

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