Nursing Student Interprofessional Simulation Increases Empathy and Improves Attitudes on Poverty
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
Poverty is increasing and it has adverse effects on health. Nurses need to understand how to help patients in poverty meet health goals within interprofessional teams. Nursing students and Veteran's Affairs employees, consisting of patient care and support staff, were recruited for an interprofessional poverty simulation. Prior to and directly following the simulation, participants were asked to complete the Attitudes about Poverty and Poor People (APPP) scale, the Toronto Empathy Questionnaire (TEQ), and the Self Reflection and Insight Scale (SRIS). Scores on the APPP and TEQ improved. The SRIS results had no significant changes. Interprofessional simulation positively impacts attitudes toward poverty and empathy in nursing students and health professionals.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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