Interprofessional education as a method to address health needs in a Hispanic community setting: A pilot study
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
The Hispanic population in and around Richmond, Virginia, USA, has grown rapidly since 2000. The Richmond City Latino Needs Assessment emphasized this growth and also reported concerns regarding healthcare access. Schools of medicine, pharmacy, and nursing at Virginia Commonwealth University have partnered together with community organizations to develop and implement an interprofessional student service learning pilot program to meet community needs and provide an opportunity for enhanced learning. Community events allowed students to work on interprofessional teams to provide healthcare screenings and education to the Hispanic community. The program was evaluated by the use of a community service survey. Results indicated improved perceptions of student comfort with working with diverse patients, working on teams, and patient-centered care, as well as statistically significant improvements in student understanding of health care access and barriers, community needs, and social determinants of health. Results suggest that this community-based service-learning interprofessional experience was critical in student learning.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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