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Record W3192617057 · doi:10.1111/nin.12449

Toward a moral commitment: Exposing the covert mechanisms of racism in the nursing discipline

2021· article· en· W3192617057 on OpenAlexaffabout
Samantha Louie‐Poon, Carla Hilario, Shannon D. Scott, Joanne Olson

Bibliographic record

VenueNursing Inquiry · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicRacial and Ethnic Identity Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCovertRacismFoundation (evidence)SociologyAction (physics)Prejudice (legal term)NursingCriminologyGender studiesPsychologySocial psychologyMedicineLawPolitical science

Abstract

fetched live from OpenAlex

Recent Canadian and international events have sparked dialogue and action to address racism within the nursing discipline. While the urgency to seek and implement antiracist solutions demands the attention of nurses, we contend that a contemporary analysis of the mechanisms that continue to perpetuate racism within nursing's theoretical foundation is required first. This study reconsiders the perceived functions of racism within the current state of nursing concepts and theories. In particular, we expose the role that covert racism plays by inadvertently sustaining racism through nursing's theoretical foundation, and how this process strengthens white supremacy. We argue that, in the absence of exposing these covert mechanisms, the development of solutions will be futile in dismantling racism. By making visible the covert mechanisms of racism within nursing's theoretical foundation, we attempt to establish an opportunity for the nursing discipline to dismantle its racist foundation and engage in sustained antiracist action. Lastly, this study demonstrates the need to equip the discipline with a moral commitment to antiracism in an effort to emancipate nursing from its racist legacies.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.291
Threshold uncertainty score0.650

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.168
GPT teacher head0.430
Teacher spread0.262 · 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 teacher head, 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

Citations15
Published2021
Admission routes2
Has abstractyes

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