Interprofessional socialization as a way to introduce collaborative competencies to first-year health science students
Bibliographic record
Abstract
Interprofessional education (IPE) is the cornerstone of preparing future health care providers but remains to be a challenge for many health science programs. We aimed to develop and evaluate an interprofessional conference for first-year health science students with goals to provide students with interprofessional socialization opportunity and introduce IPE principles. A half-day conference was based upon core competencies for health professionals and involved 277 first-year health sciences, nursing, pharmacy, physical therapy, and speech language pathology and audiology students. Alcohol and substance misuse was chosen as a topic for its relevance to college students and health professionals. Results from program evaluation revealed that the conference was successful in exposing students to core interprofessional competencies and provided useful information about alcohol and substance misuse. This study advocates for early inclusion of IPE in the health professions curricula in the form of interprofessional socialization.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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; both teacher heads agree on what is shown here.
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".