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Record W3043819001 · doi:10.36834/cmej.69328

The relationship between regional medical campus enrollment and rates of matching to family medicine residency

2020· article· en· W3043819001 on OpenAlexaffvenueabout
Dorothy Bakker, Christopher Russell, Mary Lou Schmuck, Amanda Bell, Margo Mountjoy, Rob Whyte, Lawrence Grierson

Bibliographic record

VenueCanadian Medical Education Journal · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicDiversity and Career in Medicine
Canadian institutionsMcMaster University
Fundersnot available
KeywordsAccreditationGraduation (instrument)Medical educationMatching (statistics)Family medicineGraduate medical educationMedical schoolUnited States Medical Licensing ExaminationMedicinePsychologyEngineering

Abstract

fetched live from OpenAlex

BACKGROUND: The Michael G. DeGroote School of Medicine expanded its medical education across three campus sites (Hamilton, Niagara Regional and Waterloo Regional) in 2007. Ensuring the efficacy and equivalency of the quality of training are important accreditation considerations in distributed medical education. In addition, given the social accountability mission implicit to distributed medical education, the proportion of learners at each campus that match to family medicine residency programs upon graduation is of particular interest. METHODS: By way of between campus comparisons of Canadian Residency Matching Service (CaRMS) match rates, this study investigates the family medicine match proportion of medical students from McMaster's three medical education campuses. These analyses are further supported by between campus comparisons of Personal Progress Index (PPI), Objective Structured Clinical Examination (OSCE), Medical Council of Canada Qualifying Examination-Part 1 (MCCQE1) performances that offer insight into the equivalency and efficacy of the educational outcomes at each campus. RESULTS: The Niagara Regional Campus (NRC) demonstrated a significantly greater proportion of students matched to family medicine. With respect to education equivalency, the proportion of students' PPI scores that were more than two SD below the mean was comparable across campuses. OSCE analysis yielded less than 2% differences across campuses with no differences in the last year of training. The MCCQE1 pass rates were not statistically significant between campuses and there were no differences in CaRMS match rates. With respect to education efficacy, there were no differences among the three campuses' pass rates on the MCCQE1 and CaRMS match rates with the national rates. CONCLUSIONS: Students in all campuses received equivalent educational experiences and were efficacious when compared to national metrics, while residency matches to family medicine were greater in the NRC. The reasons for this difference may be a factor of resident and leadership role-models as well as the local hospital and community environment.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.001

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.

Opus teacher head0.080
GPT teacher head0.368
Teacher spread0.287 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2020
Admission routes3
Has abstractyes

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