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Record W3174515162 · doi:10.25071/2291-5796.96

Moving beyond the rhetoric of social justice in nursing education

2021· article· en· W3174515162 on OpenAlex
Rachel Garland, Mary Lou Batty

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueWitness The Canadian Journal of Critical Nursing Discourse · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsUniversity of New BrunswickUniversity of Victoria
Fundersnot available
KeywordsRacismOppressionSocial justiceSociologyPedagogyRhetoricNurse educationPower (physics)Nurse educatorEconomic JusticeNursingEngineering ethicsMedicinePolitical scienceGender studiesSocial scienceLawPolitics

Abstract

fetched live from OpenAlex

We argue that while the discipline of nursing aligns with the ideals of social justice and anti-racism, it has been challenging for nurse educators to translate these ideals into practice. In this discussion paper, we explore these challenges. Of note, there is little guidance for nurse educators to support student knowledge development in addressing the complex issues surrounding anti-racist and anti-discriminatory practice. Accordingly, we utilized Peggy Chinn’s Peace and Power framework as a guide to develop an anti-racist practice that is underpinned by critical pedagogy. Our aim is to provide teaching and learning strategies for nurse educators to address racism, discrimination, and oppression in undergraduate nursing learning environments. Implications of this article include guidance for nurse educators who are committed to anti-racist pedagogical practice.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.651
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.005
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.027
GPT teacher head0.408
Teacher spread0.381 · 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