MétaCan
Menu
Back to cohort
Record W2989909482 · doi:10.22454/primer.2019.635563

If You Build It They Will Come…and Stay: A Community-Based Family Medicine Program

2019· article· en· W2989909482 on OpenAlex
Mary-Kay Whittaker, Stu Murdoch, Linda Rozmovits, Caroline Abrahams, Risa Freeman

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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePRiMER · 2019
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsRegent Park Community Health CentreUniversity of Toronto
FundersDepartment of Family and Community Medicine, University of TorontoUniversity of Toronto
KeywordsGraduation (instrument)Government (linguistics)Tracking (education)Medical educationMedicinePopulationEconomic shortageWork (physics)Family medicinePsychologyPedagogyEngineering

Abstract

fetched live from OpenAlex

INTRODUCTION: In response to a government request to address physician shortages in underserved communities, the University of Toronto (U of T) established the Family Medicine Residency Program (FMRP) at the Royal Victoria Regional Health Centre (RVH) in Barrie, Ontario, Canada. Prior to establishing the FMRP, approximately 21% of Barrie residents did not have a family physician. This study investigated residents' training experiences, strengths and opportunities for improvement of a community FMRP, reasons why graduates choose to work in Barrie after graduation, and graduates' practice setting and location. METHODS: RVH graduates from 2011-2016 (N=45) were invited to participate. Semistructured one-on-one interviews sought insight into graduates' experience in the program. We collected online survey data to gather demographic information. We determined current practice location using a government-funded data set and the public registry of the provincial licensing body. RESULTS: Analysis of qualitative data provided insights into an overwhelmingly positive educational experience that contributed to graduates choosing to stay and work in Barrie. Participants noted the wide range of hands-on training opportunities as a strength of the program. They perceived that the program added value to the local community by increasing capacity to provide care to an underserved patient population. Tracking data demonstrated that two-thirds of graduates continued to work in the RVH region after graduation. CONCLUSIONS: The successful establishment of a new university-affiliated FMRP in an underserved community provides a strong mechanism to recruit physicians. Training in this setting provided excellent educational experiences to residents, who felt prepared to enter independent practice upon completion of training.

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.

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Not applicablelow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
models splitAgreement compares identical category sets and study designs across arms.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.929
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.075
GPT teacher head0.452
Teacher spread0.377 · 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