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Record W2247298170

Mapping and Validating Diagnostic Reasoning through Interactive Case Creation

2007· article· en· W2247298170 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

VenueE-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicProblem and Project Based Learning
Canadian institutionsMcGill University
Fundersnot available
KeywordsContext (archaeology)Reliability (semiconductor)Presentation (obstetrics)Computer scienceConsistency (knowledge bases)Knowledge managementData scienceManagement scienceArtificial intelligenceMedicineEngineering
DOInot available

Abstract

fetched live from OpenAlex

This study presents an innovative medical case validation activity modeled on the case presentation practice commonly performed by physicians. Case development work for BioWorld (a computer-based learning environment) led us to note significant differences in the thinking involved in complex case solution. Data on the case creation phase demonstrated both validity and reliability issues when working with medical staff and students. This lack of consistency forced us to address the issue of validity and reliability of solutions in a more systematic manner. We are developing a methodology that addresses both knowledge elicitation as well as knowledge validation in the context of case creation in medical education. This study examines the effectiveness of explicit visual representations of diagnostic thinking as support tools for reflecting on and validating case resolution.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.269
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.078
GPT teacher head0.357
Teacher spread0.279 · 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