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The many and conflicting histories of medical education in Canada and the USA: an introduction to the paradigm wars

2005· article· en· W1978758752 on OpenAlexaffabout
Brian Hodges

Bibliographic record

VenueMedical Education · 2005
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsThe Wilson CentreUniversity of Toronto
Fundersnot available
KeywordsInterpretation (philosophy)Context (archaeology)Diversity (politics)Field (mathematics)SociologySocial scienceMedical educationEngineering ethicsEpistemologyMedicineHistoryAnthropology

Abstract

fetched live from OpenAlex

BACKGROUND: Medical education research is a maturing field of inquiry that derives theoretical perspectives from many domains. Yet while such theoretical diversity holds the promise of rich paradigmatic writing and debate, too often medical education researchers do not place their work in a historical or cultural context, giving the impression that they have somehow unearthed universal 'truths' about medical education. METHODS: This paper introduces some of the key 'histories' of medical education from the contexts of Anglophone Canada and the USA following a review of major works in the history of medical education. RESULTS: There are many and conflicting histories of medical education in North America that can be classified according to different socio-historical paradigms. CONCLUSIONS: To avoid the error of over-generalisation, a much greater effort must be made to include historical, sociological, economic and other social science perspectives in the design, interpretation and application of medical education research.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.958
Threshold uncertainty score0.951

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0110.020
Science and technology studies0.0420.061
Scholarly communication0.0190.007
Open science0.0030.006
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0030.000

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 head0.007
GPT teacher head0.323
Teacher spread0.316 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designTheoretical or conceptual
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

Citations38
Published2005
Admission routes2
Has abstractyes

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