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Record W3191534089 · doi:10.18192/uojm.v11i1.5827

La pédagogie médicale au cœur d’une pandémie : les cliniques simulées sont-elles immunes?

2021· article· fr· W3191534089 on OpenAlexaffvenueabout
Isaac Kim, Zacharie Saint-Georges, Isabelle Burnier

Bibliographic record

VenueUniversity of Ottawa Journal of Medicine · 2021
Typearticle
Languagefr
FieldMedicine
TopicClinical Reasoning and Diagnostic Skills
Canadian institutionsOttawa Heart InstituteRoyal Ottawa Mental Health CentreUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesCoronavirus disease 2019 (COVID-19)PhilosophyMedicine

Abstract

fetched live from OpenAlex

Le programme de cliniques simulées (CS) en dyade offert par la Faculté de médecine de l’Université d’Ottawa est une innovation des CS conventionnelles. Ce format n’a pas été expliqué et exploré en détail jusqu’à date. Plusieurs avantages tels que l’augmentation de l’exposition clinique, l’augmentation du mieux-être chez les étudiants possible et les astuces d’enseignement que ce nouveau format offre aux étudiants sont explorés. Certains désavantages comme la surcharge des horaires et les risques de santé et sécurité dans le contexte de la pandémie COVID-19 sont aussi notés. Ce nouveau format des CS pourrait bénéficier l’enseignement clinique médicale d’une façon unique.

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)0.051
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.587
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.051
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.043
GPT teacher head0.334
Teacher spread0.292 · 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

Citations0
Published2021
Admission routes3
Has abstractyes

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