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Record W2069799856 · doi:10.1097/acm.0b013e3181c8880d

In the Spirit of Flexner: Working Toward a Collective Vision for the Future of Medical Education in Canada

2010· article· en· W2069799856 on OpenAlexaffabout
Nick Busing, Steve Slade, Jay Rosenfield, Irving Gold, Susan Maskill

Bibliographic record

VenueAcademic Medicine · 2010
Typearticle
Languageen
FieldMedicine
TopicHealth and Medical Research Impacts
Canadian institutionsAssociation of Universities and Colleges of Canada
Fundersnot available
KeywordsMedical educationWork (physics)Set (abstract data type)ScholarshipAcademic medicinePublic relationsMedicineSociologyEngineering ethicsPolitical scienceComputer scienceLawEngineering

Abstract

fetched live from OpenAlex

The Association of Faculties of Medicine of Canada launched the Future of Medical Education in Canada (FMEC) Project in 2007. The FMEC Project's overarching goal was to comprehensively examine the current state of undergraduate medical education, concentrating on its alignment with current and future societal needs. Like Flexner's work, the FMEC Project used a process of reflection and renewal; unlike Flexner's work, the FMEC Project used multiple techniques to gather information, including literature reviews, key informant interviews, international visits, and a series of consultations with stakeholders and expert groups. The project's final report, The Future of Medical Education in Canada: A Collective Vision, put forth 10 recommendations that summarized priority areas for academic medicine and medical training in Canada at the start of the 21st century. The current article reviews FMEC Project recommendations in relation to the priorities set out by Flexner in 1910. In some areas, such as the scientific basis of medical education, there is striking congruence between Flexner's views and today's collective vision. In other areas, such as community-based learning, opinion appears to have shifted markedly over the past century, and concepts such as interprofessionalism may represent distinctly modern domains. While Flexnerian themes tend to center on the notion of medicine as science, present-day priorities converge on the link between academic medicine and societal needs. By looking back on Flexner's work, we can see where his vision has taken us. As well, we see more clearly the new frontiers that academic medicine will continue to explore.

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)0.006
metaresearch head score (Gemma)0.043
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.544
Threshold uncertainty score0.965

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.043
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.084
GPT teacher head0.473
Teacher spread0.389 · 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

Citations26
Published2010
Admission routes2
Has abstractyes

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