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Record W2761341025 · doi:10.1111/medu.13386

Back from basics: integration of science and practice in medical education

2017· article· en· W2761341025 on OpenAlexaff
Glen Bandiera, Ayelet Kuper, Maria Mylopoulos, Cynthia Whitehead, Mariela Ruetalo, Kulamakan Kulasegaram, Nicole N. Woods

Bibliographic record

VenueMedical Education · 2017
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsThe Wilson CentreHealth Sciences CentreSunnybrook Health Science CentreWomen's College HospitalUniversity of Toronto
Fundersnot available
KeywordsDeclarationCurriculumMultitudeEngineering ethicsMedical educationCognitionPsychologySociologyPolitical scienceMedicinePedagogyEngineering

Abstract

fetched live from OpenAlex

CONTEXT: In 1988, the Edinburgh Declaration challenged medical teachers, curriculum designers and leaders to make an organised effort to change medical education for the better. Among a series of recommendations was a call to integrate training in science and clinical practice across a breadth of clinical contexts. The aim was to create physicians who could serve the needs of all people and provide care in a multitude of contexts. In the years since, in the numerous efforts towards integration, new models of curricula have been proposed and implemented with varying levels of success. SCOPE OF REVIEW: In this paper, we examine the evolution of curricular integration since the Edinburgh Declaration, and discuss theoretical advances and practical solutions. In doing so, we draw on recent consensus reports on the state of medical education, emblematic initiatives reported in the literature, and developments in education theory pertinent to the role of integrated curricula. CONCLUSIONS: Interest in integration persists despite 30 years of efforts to respond to the Edinburgh Declaration. We argue, however, that a critical shift has taken place with respect to the conception of integration, whereby empirical models support a view of integration as pertaining to both cognitive activity and curricular structure. In addition, we describe a broader definition of 'basic science' relevant to clinical practice that encompasses social and behavioural sciences, as well as knowledge derived from biomedical science.

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)0.004
metaresearch head score (Gemma)0.220
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.952
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.220
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.021
GPT teacher head0.426
Teacher spread0.406 · 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 designOther design
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

Citations78
Published2017
Admission routes1
Has abstractyes

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