Simulation Experiences Focusing on Addressing Culturally Based Hidden Bias and RacisM (A-CHARM)
Bibliographic record
Abstract
Background Racism experienced by nursing students contributes to a loss of confidence and anxiety. The Addressing Culturally Based Hidden Bias and RacisM (A-CHARM) nursing project simulation experiences (SEs) provide opportunities to practice addressing racism/inappropriate comments experienced in the clinical setting. The aim is to describe the development of the A-CHARM nursing project SEs. Method The frameworks used in the development of the SEs include the (1) six-step approach, (2) ERASE framework, (3) SENSE debriefing model, and (4) Microaggressions Triangle model. Results Five SEs were created that depicted scenes where a nursing student encounters racism/inappropriate comments. Each SE aligned with one of the frameworks and users utilized the framework to navigate the SE. Conclusion The A-CHARM nursing SEs may benefit nursing students by enhancing their knowledge and skills related to racism or inappropriate comments in clinical settings. Future research will evaluate the impact of the SEs on nursing students and clinical faculty. [ J Nurs Educ . 2025;64(7):449–453.]
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".