The School of Nursing has a problem with diversity, equity and inclusion. Can curriculum revision address it? An educational case study
Bibliographic record
Abstract
Introduction: This article describes an educational case study based in a School of Nursing at a private university in the Southeastern United States which is called by students to address structural racism and a lack of diversity, equity and inclusion in the program. In the case study, a decision is made to review and revise the curriculum. A variety of stakeholders are included, and they have a variety of motivations and levels of commitment to the work.Methodology and results: The case was created by nurse educators, and based on a fictitious school with invented characters. Teaching notes are provided for the facilitator, and discussion questions and activities for the learners.Discussion: Current and future nursing faculty may use this case study to learn about curricular revision to support equitable educational practices. Instilling diversity, equity and inclusion in the nursing curriculum equips future nursing professionals to provide culturally congruent health care.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.016 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".