MétaCan
Menu
Back to cohort
Record W2921984370 · doi:10.5206/uwomj.v85i2.2201

Does participation in family medicine interest group events at Canadian medical schools influence residency decisions?

2016· article· en· W2921984370 on OpenAlexvenueaboutno aff
George Kim, Janina Mailloux, Caleb Van de Kleut

Bibliographic record

VenueUniversity of Western Ontario Medical Journal · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicDiversity and Career in Medicine
Canadian institutionsnot available
Fundersnot available
KeywordsGeneralizability theorySpecialtyMedical schoolFamily medicineMedical educationResidency trainingMedicinePsychology

Abstract

fetched live from OpenAlex

Undergraduate medical students established family medicine interest groups (FMIGs) across Canada to enhance their exposure to family medicine as a medical specialty. However, there has been limited research performed to evaluate if FMIGs are fulfilling their role in promoting postgraduate training in family medicine. The objective of this study was to determine whether or not participation in FMIG events influenced the residency decisions of fourth year medical students attending the Schulich School of Medicine & Dentistry. 32 fourth year students from the class of 2015 responded to an online survey. Overall, this study determined that FMIG events provided students with a greater understanding of the opportunities in family medicine (23/32), but did not influence residency decisions. The study was limited given the small cohort of medical students surveyed. In the future, it may be beneficial to pursue a Canada-wide research study of FMIGs to survey a larger number of students, and improve the validity and generalizability of the results.

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)0.003
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Incentives · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.997
Threshold uncertainty score0.130

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.044
GPT teacher head0.305
Teacher spread0.261 · 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.

Study designObservational
DomainIncentives
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

Citations1
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueUniversity of Western Ontario Medical JournalSame topicDiversity and Career in MedicineFrench-language works237,207