Practical Tips for using a Human Library approach In medical education
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
A Human Library is a structured event that brings people from different groups together. It simulates the format of a customary library, with 'Readers' borrowing 'Books', who are human volunteers sharing their lived experiences and perspectives. Rooted in principles of social psychology, Human Libraries provide opportunities for Books and Readers to interact in meaningful dialogue. The goal of each interaction is to give the Reader new understanding of the Book's life. The Human Library was originally developed as a strategy to challenge prejudice through conversation and personal connection, but the approach is remarkably versatile. We repurposed it for a medical education context in order to provide learners in medical school with information and inspiration, particularly about rural life and rural medicine. We organized and held two Human Library events where pre-medical and undergraduate medical students (Readers) engaged in dialogue with rural physicians (Books). However, the strategy could be used to address a wide variety of challenging subjects where the potential Readers are biased or lack experience. This article draws upon research literature and our own experiences of running Human Library events to give practical advice for other organizations who might want to use this novel approach in medical education.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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 it