PHRM 473 Interprofessional Collaboration : Year 4 Report
Bibliographic record
Abstract
The purpose of this Year 4 report is to provide an account of the activities and research outcomes of this study. The aim of this study is to understand the outcomes of an interprofessional elective practicum for Professional Year 4 (PY4) Entry-to-Practice (E2P) PharmD students in 2020-2021. PHRM 473 Non-Direct Patient Care Interprofessional Collaboration is coordinated by the Office of Experiential Education. The main goal of this practicum is to provide a novel practicum experience for PY4 E2P PharmD students to develop their pharmaceutical skills, knowledge, and attitudes, specifically in an interprofessional health care setting. The four-week practicum is a non-direct patient care, community-based placement for students to work with a non-pharmacy health professional, including a family physician, kinesiologist, naturopathic physician and a chiropractor. This is the second time that this elective practicum is being offered. Four students were matched to this practicum which ran from September 28 to October 23, 2021 (Block 3). All course activities and learning goals are rooted in the six interprofessional competency domains as defined by the Canadian Interprofessional Health Collaborative (CIHC): Role clarification, Team functioning, Interprofessional communication, Patient/client/family/community-centered care, Interprofessional conflict resolution, and Collaborative leadership. Thematic analysis using a combined inductive/deductive approach was applied to the weekly transcripts and surveys.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.029 | 0.007 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".