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Record W2795046142 · doi:10.36834/cmej.42286

Redeveloping a workplace-based assessment program for physicians using Kane’s validity framework

2018· article· en· W2795046142 on OpenAlexaffvenueabout
Kathryn Hodwitz, William J. Tays, Rhoda Reardon

Bibliographic record

VenueCanadian Medical Education Journal · 2018
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsCollege of Physicians and Surgeons of Ontario
Fundersnot available
KeywordsFormative assessmentProcess (computing)SpecialtyMedical educationComputer scienceKnowledge managementPsychologyMedicineFamily medicinePedagogy

Abstract

fetched live from OpenAlex

This paper describes the use of Kane’s validity framework to redevelop a workplace-based assessment program for practicing physicians administered by the College of Physicians and Surgeons of Ontario. The developmental process is presented according to the four inferences in Kane’s model. Scoring was addressed through the creation of specialty-specific assessment criteria and global, narrative-focused reports. Generalization was addressed through standardized sampling protocols and assessor training and consensus-building. Extrapolation was addressed through the use of real-world performance data and an external review of the scoring tools by practicing physicians. Implications were theoretically supported through adherence to formative assessment principles and will be assessed through an evaluation accompanying the implementation of the redeveloped program. Kane’s framework was valuable for guiding the redevelopment process and for systematically collecting validity evidence throughout to support the use of the assessment for its intended purpose. As the use of workplace-based assessment programs for physicians continues to increase, practical examples are needed of how to develop and evaluate these programs using established frameworks. The dissemination of comprehensive validity arguments is vital for sharing knowledge about the development and evaluation of WBA programs and for understanding the effects of these assessments on physician practice improvement.

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)0.002
metaresearch head score (Gemma)0.023
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.672
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.045
GPT teacher head0.426
Teacher spread0.380 · 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
GenreMethods

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

Citations11
Published2018
Admission routes3
Has abstractyes

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