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Record W2034355460 · doi:10.1080/10401334.2013.842907

Theory Development and Application in Medical Education

2013· article· en· W2034355460 on OpenAlex
Anna T. Cianciolo, Kevin W. Eva, Jerry A. Colliver

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 · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsArgumentation theoryConversationQuality (philosophy)EpistemologyEngineering ethicsMedical educationPsychologyManagement scienceMedicine

Abstract

fetched live from OpenAlex

The role and status of theory is by no means a new topic in medical education. Yet summarizing where we have been and where we are going with respect to theory development and application is difficult because our community has not yet fully elucidated what constitutes medical education theory. In this article, we explore the idea of conceptualizing theory as an effect on scholarly dialogue among medical educators. We describe theory-enabled conversation as argumentation, which frames inquiry, permits the evaluation of evidence, and enables the acquisition of community understanding that has utility beyond investigators' local circumstances. We present ideas for assessing argumentation quality and suggest approaches to increasing the frequency and quality of argumentation in the exchange among diverse medical education scholars.

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)0.006
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.728
Threshold uncertainty score0.492

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.004
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 integrity0.0000.001
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 head0.014
GPT teacher head0.347
Teacher spread0.333 · 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