Reiterating a Need for Antiracism Praxis in Nursing and Psychiatric Nursing Education
Bibliographic record
Abstract
Background: The reemergence of the Black Lives Matter movement in 2020 reinforced the need for antiracist and decolonizing praxis in all areas, including nursing education, the burden for which has fallen predominantly on visible minorities. To enact the needed change within health care systems and nursing education, White nurses must recognize their privilege and become active participants in the conversations and change. Method: This two-phase qualitative study explored nursing and psychiatric nursing students' experiences of racism and antiracism education at a small western Canadian university. Results: Anonymous qualitative surveys ( n = 24) and structured interviews ( n = 9) with nursing and psychiatric nursing students highlighted the difficulties and complexities of recognizing racism and a present lack of antiracism praxis in educational and health care settings. Conclusion: Nursing educators must reevaluate structural and behavioral aspects of nursing education to support genuine antiracism praxis. [ J Nurs Educ . 2022;61(8):439–446.]
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".