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Record W3041512264 · doi:10.1080/10401334.2020.1784740

Constructing Approaches to Entrustable Professional Activity Development that Deliver Valid Descriptions of Professional Practice

2020· article· en· W3041512264 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

VenueTeaching and Learning in Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsQueen's University
Fundersnot available
KeywordsConstruct (python library)Construct validityIdentification (biology)AutonomyPromotion (chess)Professional developmentCurriculumMedical educationPsychologyComputer scienceEngineering ethicsMedicineNursingPedagogy

Abstract

fetched live from OpenAlex

Issue: Entrustable Professional Activities (EPAs) describe the core tasks health professionals must be competent performing prior to promotion and/or moving into unsupervised practice. When used for learner assessment, they serve as gateways to increased responsibility and autonomy. It follows that identifying and describing EPAs is a high-stakes form of work analysis aiming to describe the core work of a profession. However, hasty creation and adoption of EPAs without rigorous attention to content threatens the quality of judgments subsequently made from using EPA-based assessment tools. There is a clear need for approaches to identify validity evidence for EPAs themselves prior to their deployment in workplace-based assessment. Evidence: For EPAs to realize their potential in health professions education, they must first be constructed to reflect accurately the work of that profession or specialty. If the EPAs fail to do so, they cannot predict a graduate’s readiness for or future performance in professional practice. Evaluating the methods used for identification, description, and adoption of EPAs through a construct validity lens helps give leaders and stakeholders of EPA development confidence that the EPAs constructed are, in fact, an accurate representation of the profession’s work. Implications: Application of a construct validity lens to EPA development impacts all five commonly followed steps in EPA development: selection of experts; identification of candidate EPAs; iterative revisions; evaluation of proposed EPAs; and formal adoption of EPAs into curricula. It allows curricular developers to avoid pitfalls, bias, and common mistakes. Further, construct validity evidence for EPA development provides assurance that the EPAs adopted are appropriate for use in workplace-based assessment and entrustment decision-making.

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)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.640
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.156
GPT teacher head0.371
Teacher spread0.215 · 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