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Record W2426447607 · doi:10.1503/cjs.002215

A proposal for the curriculum and evaluation for training rural family physicians in enhanced surgical skills

2015· review· en· W2426447607 on OpenAlexaffvenueabout
Nadine R. Caron, Stuart Iglesias, Randall Friesen, Vanessa Berjat, Nancy Humber, Ryan Falk, Mark Prins, Victoria Vogt Haines, Brian Geller, Fred Janke, Robert Woollard, Bret Batchelor, Jared Van Bussel

Bibliographic record

VenueCanadian Journal of Surgery · 2015
Typereview
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsSt. Paul's Hospital
Fundersnot available
KeywordsMedicineCurriculumMedical educationSet (abstract data type)Training (meteorology)Core curriculumFamily medicinePedagogy

Abstract

fetched live from OpenAlex

SUMMARY: Rural western Canada relies heavily on family physicians with enhanced surgical skills (ESS) for surgical services. The recent decision by the College of Family Physicians of Canada (CFPC) to recognize ESS as a "community of practice" section offers a potential home akin to family practice anesthesia and emergency medicine. To our knowledge, however, a skill set for ESS in Canada has never been described formally. In this paper the Curriculum Committee of the National ESS Working Group proposes a generic curriculum for the training and evaluation of the ESS skill set.

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)0.049
metaresearch head score (Gemma)0.048
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.049
Threshold uncertainty score0.259

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0490.048
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.005
Bibliometrics0.0050.004
Science and technology studies0.0020.002
Scholarly communication0.0030.003
Open science0.0040.003
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.203
GPT teacher head0.491
Teacher spread0.288 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations23
Published2015
Admission routes3
Has abstractyes

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