MétaCan
Menu
Back to cohort
Record W2929422687 · doi:10.15173/sciential.v1i2.2062

How McMaster is Fulfilling the Need for Physician Assistants in Canada

2019· article· en· W2929422687 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSciential - McMaster Undergraduate Science Journal · 2019
Typearticle
Languageen
FieldHealth Professions
TopicNursing Roles and Practices
Canadian institutionsMcMaster University
Fundersnot available
KeywordsWorkforceMedical educationLifelong learningInstitutionCurriculumMedicineNursingPedagogyPsychologyPolitical science

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.468
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.040
GPT teacher head0.348
Teacher spread0.308 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it