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Record W2396879385

Electrocardiography teaching in Canadian family medicine residency programs: a national survey.

2011· article· en· W2396879385 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePubMed · 2011
Typearticle
Languageen
FieldMedicine
TopicECG Monitoring and Analysis
Canadian institutionsQueen's University
Fundersnot available
KeywordsAccreditationCurriculumMedical educationFamily medicineMedicineMedical schoolResidency trainingPsychologyContinuing educationPedagogy
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: Electrocardiography (ECG) interpretation is an essential skill for a family physician. Teaching and learning electrocardiography is a difficult task, in part due to the erosion of knowledge when interpretation is not part of a daily activity. The objective of this study was to assess the current status of electrocardiography teaching in Canadian family medicine residency programs. METHODS: A national survey was designed to specifically address the status of the ECG teaching curricula. This national survey was electronically sent to the family medicine program directors of all 17 Canadian accredited medical schools. RESULTS: Approximately 75% of the schools responded to the survey. There was a great variance among Canadian family medicine residency programs with respect to the time allotment, ECG training location, training faculty, and teaching methods utilized. The goals of each respective program are also quite wide-ranging. CONCLUSIONS: Family medicine residency programs across Canada are quite diverse regarding ECG training curricula and its goals. The need for a homogeneous way of teaching and evaluating has been identified.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.232
Threshold uncertainty score0.627

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.095
GPT teacher head0.285
Teacher spread0.189 · 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