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Record W2041678108 · doi:10.1080/01421590310001643154

The Clinical TeacherClinical teachers' tacit knowledge of basic pedagogic principles

2004· article· en· W2041678108 on OpenAlexaff
Peter J. McLeod, Tim Meagher, Yvonne Steinert, Lambertus Schuwirth, Audrey McLeod

Bibliographic record

VenueMedical Teacher · 2004
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsMcGill University Health CentreMcGill University
Fundersnot available
KeywordsTacit knowledgeTest (biology)Medical educationPsychologyMedicineMathematics educationKnowledge managementComputer science

Abstract

fetched live from OpenAlex

Academic faculty members in medical schools rarely receive formal instruction in basic pedagogic principles; nevertheless many develop into competent teachers. Perhaps they acquire tacit knowledge of these principles with teaching experience. This study was designed to assess clinical teachers' tacit knowledge of basic pedagogic principles and concepts. The authors developed a multiple-choice question (MCQ) exam based on 20 pedagogic principles judged by a panel of education experts to be important for clinical teaching. Three groups of clinician-educators sat the test: (1) clinicians with advanced education training and experience; (2) internal medicine specialists; (3) surgical specialists. All four groups of clinicians-educators passed the test, indicating that they possess a reasonable tacit knowledge of basic pedagogic principles. Those with advanced education training performed much better than members of the other two groups while specialists and residents working in teaching hospitals outperformed specialists from non-teaching hospitals. It is possible that converting this tacit knowledge to explicit knowledge may improve individual teaching effectiveness.

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)0.010
metaresearch head score (Gemma)0.029
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.756
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.135
GPT teacher head0.472
Teacher spread0.337 · 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
GenreEmpirical

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

Citations33
Published2004
Admission routes1
Has abstractyes

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