Teaching Cultural Humility and Implicit Bias to Veterinary Medical Students: A Review and Recommendation for Best Practices
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.
Bibliographic record
Abstract
Cultural humility, with its concomitant understanding of the importance of the influences of diversity and inclusion, improves health outcomes in the human medical field. Recent changes to the American Veterinary Medical Association Council on Education requirements in veterinary medicine include teaching the impact of implicit bias on the delivery of veterinary medical services. Because overt enhancement of self-awareness is not fodder for traditional veterinary medical education delivery systems, in this article we review existing literature on the impact of recognition of implicit bias on health care and offer insights on ways to help veterinary students learn this skill, drawing on evidence from an inter-professional intervention called WisCARES (Wisconsin Companion Animal Resources, Education, and Social Services).
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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 | 0.012 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it