How McMaster is Fulfilling the Need for Physician Assistants in Canada
Bibliographic record
Abstract
The Physician Assistant (PA) profession has been growing over the past decade in Canada, and McMaster University was the first institution in Ontario to establish a PA program in 2008. The PA profession occupies a niche in the health care field and is needed to extend physician services contributing to the improvement of patient care. McMaster’s PA Education Program (PAEP) fosters collaboration and problem-based learning (PBL) in order to provide students with skills that are transferable to the workplace. McMaster’s PBL approach arms graduates with lifelong learning skills that are practical in a clinical setting. The following interviews with PAs provide a more comprehensive understanding of the development of the PA niche and proffer a glimpse into how McMaster’s PAEP equips its graduates with practical skills, which will allow them to excel in the workforce.
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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 | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.038 | 0.006 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.021 | 0.002 |
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".