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Record W1996356165 · doi:10.3109/0142159x.2010.500707

Competencies, the tea bag model, and the end of time

2010· article· en· W1996356165 on OpenAlexaff
Linda Snell, Jason R. Frank

Bibliographic record

VenueMedical Teacher · 2010
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversity of OttawaRoyal College of Physicians and Surgeons of CanadaMcGill University
Fundersnot available
KeywordsJargonContext (archaeology)CurriculumGeneral partnershipGlobeMedical educationTheme (computing)Public relationsPedagogyPsychologyPolitical scienceSociologyMedicineHistoryLawComputer science

Abstract

fetched live from OpenAlex

Talk of tea bags and of competencies is much in the air these days, at least among medical educators. If epithets such as the ‘‘tea bag model of medical education’’ reflect dissatisfaction with approaches that emphasize how much time learners spend immersed in a certain context, as opposed to what they actually learn there, they also speak to one of the most pressing issues in medical education today: How do we ensure that all of our graduates are competent? To address this challenge, many jurisdictions around the globe have adopted ‘‘competency frameworks’’ for medical education. The resultant movement from structure- and process-based models to an outcomes-based approach has, in turn, given rise to jargon, controversy, and debate. Some have spoken out against the emerging paradigm of competency-based medical education (CBME), deploring ‘‘the tyranny of competency’’ (Brooks 2009) and emphasizing what they view as the inherent constraints and conflicts of a competency-based approach (Reeves et al. 2009). Medical Teacher has devoted this issue to the discourse around CBME and its implications for all of us who are engaged in educating health professionals. The papers in this theme issue have been authored by the International CBME Collaborators, 1 a unique partnership of interested scholars, practitioners, educators, curriculum planners, and teachers from four continents who came together in mid-2009 to consider the concepts and controversies in this widely debated topic. Although the published discourse on medical education stretches back to the early 20th century, CBME is experiencing a resurgence of sorts. In this issue, a series of papers explores different aspects of CBME from varied perspectives. In a systematic review of the literature Frank and colleagues review published definitions, identify common themes, and propose a definition to stimulate dialogue. The introductory theory-topractice paper (Frank & Snell) describes the results of an international collaboration that identified controversies, proposed consensus definitions of key terms, described the benefits and challenges of competency-based approaches, and explored future directions. These concepts are applied across the continuum of medical education in papers describing implementation, challenges, and approaches at the level of undergraduate education (Harris et al.), postgraduate training (Iobst et al.), and practice, where CBME may foster a progression from competence to excellence (Campbell et al.). Theoretical background from the learning sciences is provided by Swing to form a foundation for further thought, and a paper by ten Cate and colleagues introduces the concept of ‘‘entrustable professional activities’’ and explores the idea of ‘‘competencies in context.’’ No issue describing a new curricular paradigm would be complete without giving attention to assessment and faculty development. Holmboe and co-authors address issues surrounding assessment, emphasizing the need for robust and multi-faceted assessment systems and evaluation methods. A paper on faculty development by Dath and Iobst describes the challenges of ensuring that faculty understand the concepts of CBME and are comfortable teaching in this context, and suggests solutions at the level of the medical teacher and of the institution. Finally, a paper on policy by Taber and co-authors acknowledges that CBME is not solely a curriculum model that will be used by educators, but will have an impact on and be shaped by the institutions and systems where it is implemented.

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)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.794
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.012
GPT teacher head0.290
Teacher spread0.278 · 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 designSimulation or modeling
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

Citations89
Published2010
Admission routes1
Has abstractyes

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