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Record W2071241189 · doi:10.1080/01421590601175291

World conference on medical education: A window on the globalizing world of medical education?

2007· article· en· W2071241189 on OpenAlexaff
Christophe Ségouin, Brian Hodges, Paula Byrne

Bibliographic record

VenueMedical Teacher · 2007
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsWonderInternationalizationMedical educationGeneralizability theoryPolitical scienceMedical schoolPublic relationsMedicinePsychologyBusiness

Abstract

fetched live from OpenAlex

The Association for Medical Education in Europe (AMEE) is a worldwide association for all interested in medical and health professions education (http://www.amee.org). AMEE organizes an annual meeting, the most recent of which (2005) was held in Amsterdam. At this meeting certain countries and regions were better represented than others, while some countries with large populations or a significant role in the history of medical education were almost completely absent from the international scene. At the same time, the themes addressed at the AMEE conference concern issues of international interest, and appear to be leading to internationalization of pedagogical and research methods and policies for educational standards. It is therefore crucial that all parts of the medical education world be well represented. This paper illustrates both the strengths and imbalances of AMEE as a forum for the elaboration of international activities and standards in medical education. Finally, the authors wonder why a tendency to assume international generalizability of concepts and perspectives in medical education is not accompanied by studies that compare and contrast medical education methods, research and values between countries and cultures.

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)0.011
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.759
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.1540.001

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 head0.113
GPT teacher head0.497
Teacher spread0.384 · 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; both teacher heads agree on what is shown here.

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

Citations8
Published2007
Admission routes1
Has abstractyes

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