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Preliminary Validation of a Clinical Reasoning Theory-Based Assessment Rubric: An e-Delphi Study

2024· article· en· W4402440264 on OpenAlex
Marie‐France Deschênes, Éric Dionne, Laura Robert-Boluda

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

VenueNursing Education Perspectives · 2024
Typearticle
Languageen
FieldMedicine
TopicClinical Reasoning and Diagnostic Skills
Canadian institutionsInstitut du Savoir MontfortCentre for Interdisciplinary Research in Rehabilitation
Fundersnot available
KeywordsRubricCLARITYDelphi methodConcordancePsychologyContent validityEducational measurementComputer scienceMedical educationPsychometricsMathematics educationCurriculumArtificial intelligenceMedicinePedagogyClinical psychology

Abstract

fetched live from OpenAlex

ABSTRACT: Questions persist regarding the evaluation of cognitive processes related to clinical reasoning when resolving situations in a learning by concordance tool. This Delphi technique study aimed to validate a clinical reasoning assessment rubric based on script theory. Seventeen experts participated in the study. Two rounds of consultation were conducted to obtain a consensus on the accuracy and clarity of the rubric descriptors (clarity index and content validity index ≥ 0.9). The results inform future research procedures and the intended use of the rubric to facilitate evaluator inferences, provide student feedback, and support the development of learners' clinical reasoning.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.596
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.014
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 integrity0.0000.000
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 head0.063
GPT teacher head0.509
Teacher spread0.447 · 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