MétaCan
Menu
Back to cohort

Varying conceptions of competence: an analysis of how health sciences educators define competence

2012· review· en· W2109017110 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.

Bibliographic record

VenueMedical Education · 2012
Typereview
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsCompetence (human resources)CurriculumPsychologyThematic analysisMedical educationMedicinePedagogySociologySocial psychologySocial scienceQualitative research

Abstract

fetched live from OpenAlex

CONTEXT: Current debate in medical education focuses on the nature of 'competency-based medical education' (CBME) and whether or not it should be adopted. Many medical schools claim to run 'competency-based' curricula, but the structure of their programmes can differ radically. A review of the existing CBME literature reveals that little attention has been paid to defining the concept of competence. A straightforward examination of what is meant by the term 'competence' is noticeably missing from the literature, despite its impact on medical training. OBJECTIVES: This paper aims to illustrate the varying conceptions of 'competence' by comparing and contrasting definitions provided in the health sciences education literature and discussing their respective impacts on medical education. METHODS: A systematic review of recent publications in medical education journals published in English and French was conducted to extract definitions of competence or, if definitions were not explicitly stated, to derive the authors' implicit conception of competence. A sample of 14 definitions from articles in the health sciences education field was studied using thematic analysis. RESULTS: There is agreement that competence is composed of knowledge, skills and other components. Although agreement about the nature of these other components is lacking, attitudes and values are suggested to be essential ingredients of competence. Furthermore, a clear divergence in conceptions of how a competent person utilises these components is apparent. One view specifies that competence involves selecting components according to specific situations, as required. A second view places greater emphasis on the synergy that results from the use of a combination of components in a given situation. CONCLUSIONS: These conceptual distinctions have many implications for the way CBME is implemented. A conception of competence as the selection of components may lead to a greater emphasis, in a training setting, on the mastery of each component separately. A conception of competence as the use of a combination of components leads to greater emphasis on the synergy that results as they are deployed in clinical situations.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.978
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0020.007
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.078
GPT teacher head0.464
Teacher spread0.387 · 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