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Record W1677296449 · doi:10.2147/amep.s79521

Competency-structured case discussion in the morning meeting: enhancing CanMEDS integration in daily practice

2015· article· en· W1677296449 on OpenAlexaboutno aff
Imadsa Hassan, Hadi Kuriry, Lina Al Ansari, Mohammed Al‐Qahtani, Thari Al Anazi, Ali Al Khathami, Mahfooz Farooqui, Hamdan Al Jahdali

Bibliographic record

VenueAdvances in Medical Education and Practice · 2015
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsMorningMedical educationMedicinePsychologyInternal medicine

Abstract

fetched live from OpenAlex

Outcome-focused, competency-based educational curricula have become the norm in residency training programs. The Canadian Medical Education Directives for Specialists (CanMEDS) framework is one example of such a curriculum. However, models for incorporating all the competencies in everyday clinical practice have been difficult to accomplish. In this manuscript, a CanMEDS, competency-structured, acute case discussion in a regular morning meeting was undertaken. All the diagnostic and therapeutic interventions were explicitly organized and discussed under their respective CanMEDS competency headings. Post exercise, the majority of residents felt that they were more competent in all the competencies and indicated their willingness to continue having similarly structured acute case discussions in the future.

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)0.008
metaresearch head score (Gemma)0.157
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.916
Threshold uncertainty score0.850

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.157
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.001
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 head0.018
GPT teacher head0.417
Teacher spread0.399 · 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

Citations8
Published2015
Admission routes1
Has abstractyes

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