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Record W2055403922 · doi:10.1097/acm.0b013e3181dce9a7

The Origins of the Field of Medical Education Research

2010· article· en· W2055403922 on OpenAlexaff
Ayelet Kuper, Mathieu Albert, Brian Hodges

Bibliographic record

VenueAcademic Medicine · 2010
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsSubject (documents)Field (mathematics)Context (archaeology)SociologySituatedPoliticsAccountabilityEducational researchPublic relationsPedagogyPolitical scienceLibrary scienceHistoryLaw

Abstract

fetched live from OpenAlex

PURPOSE: This paper answers two related questions: When did the education of doctors become a subject for scientific inquiry? And what were the political and economic contexts, the worldviews, structures and events, that enabled the emergence and development of medical education research at that time and in that manner? METHOD: A detailed, concurrent, chronological textual analysis, with triangulation between textual form and contents, was conducted between 2006 and 2008. The primary texts were the complete volumes of the Journal of Medical Education (then the only journal in its field) from 1955 through 1959. Texts were analyzed within a theoretical framework grounded in the literature on interdisciplinary fields. RESULTS: In 1955, the academic medical community was just awakening to the possibility of medical education research; by 1959, it was institutionalized. Major factors contributing to its emergence included the increasing importance of scientific research generally, money for medical education research, the explosive growth of scientific knowledge, and growing calls for public accountability of medical education. CONCLUSIONS: Many factors led to the emergence of medical education research in the late 1950s within a particular sociohistorical context. The nature of research in this field, which is currently the subject of debate, is also of necessity historically situated and contingent, drawing on its roots in this era. A historical understanding will inform further analysis of the events, structures, and worldviews that underpin the definition(s) of legitimate knowledge production within the field 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 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)0.007
metaresearch head score (Gemma)0.065
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.418
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.065
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.047
GPT teacher head0.520
Teacher spread0.472 · 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

Citations71
Published2010
Admission routes1
Has abstractyes

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