MétaCan
Menu
Back to cohort
Record W3126241466 · doi:10.1080/21614083.2021.1874644

Standards for Substantive Equivalency between Continuing Professional Development/Continuing Medical Education (CPD/CME) Accreditation Systems

2021· article· en· W3126241466 on OpenAlexaff
Kate Regnier, Craig Campbell, R. Griebenow, Michel Smith, Kate Runacres, Amy L. Smith, Graham T. McMahon

Bibliographic record

VenueJournal of European CME · 2021
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsRoyal College of Physicians and Surgeons of Canada
Fundersnot available
KeywordsAccreditationContinuing medical educationCompetence (human resources)Medical educationContinuing professional developmentContinuing educationProfessional developmentHealth carePolitical scienceMedicinePsychology

Abstract

fetched live from OpenAlex

The International Academy for Continuing Professional Development Accreditation (IACPDA) is dedicated to advocating for and enhancing the development, implementation and evolution of continuing medical education (CME)/continuing professional development (CPD) accreditation systems throughout the world by providing an opportunity for individuals in leadership positions to (a) learn about the values, principles and metrics of varying CME/CPD accreditation systems; (b) explore the accreditation standards for CME/CPD provider organisations and activities under differing systems; and (c) foster evaluations to measure the impact of CME/CPD accreditation systems on physician learning, competence, performance, and healthcare outcomes. IACPDA has developed a shared set of international standards to guide the accreditation of CME/CPD for medical doctors and healthcare teams globally, which have been adopted in the Cologne Consensus Conference on 10 September 2020. These standards will also be used to determine substantive equivalency between accrediting bodies.

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 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)0.005
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.769
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.026
GPT teacher head0.375
Teacher spread0.348 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations23
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJournal of European CMESame topicInnovations in Medical EducationFrench-language works237,207