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Record W2772800062 · doi:10.1080/0142159x.2017.1401219

Beyond competency-based continuing professional development

2017· article· en· W2772800062 on OpenAlexfundno aff
Matthew Links

Bibliographic record

VenueMedical Teacher · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Leadership and Innovation
Canadian institutionsnot available
FundersRoyal Australasian College of PhysiciansRoyal College of Physicians and Surgeons of Canada
KeywordsCompetence (human resources)Perspective (graphical)Medical educationArgument (complex analysis)PsychologyContinuing professional developmentProfessional developmentContinuing medical educationMedicineContinuing educationComputer scienceSocial psychologyInternal medicine

Abstract

fetched live from OpenAlex

Competency based medical education (CBME) has become the default for undergraduate and post-graduate medical education (PGME) but its role in continuing professional development (CPD) is under discussion. Some critical differences between CPD and PGME are identified and these differences applied to: the relative roles of competence and performance; existing criticisms of CBME; heutagogy as a learning theory; and post-modernism as an underlying philosophical perspective. The argument is made that the characteristics of CPD fit with performance based medical education, a heutagogical learning theory, a focus on capabilities, rather than competencies; and a post-modern perspective.

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)0.008
metaresearch head score (Gemma)0.018
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.005
Scholarly communication0.0050.004
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0100.002

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 head0.051
GPT teacher head0.382
Teacher spread0.331 · 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
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

Citations24
Published2017
Admission routes1
Has abstractyes

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