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Record W2902908043 · doi:10.15694/mep.2018.0000269.1

Incorporating evidence-based principles in medical training. Sharing experience with McMaster

2018· article· en· W2902908043 on OpenAlex
Silke Anna Theresa Weber, Aristides Palhares Neto, Luciana Patrícia Fernandes Abbade, Jacqueline Costa Teixeira Caramori, Gilmar Reis, Rosemary Oliveira, Lehana Thabane

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMedEdPublish · 2018
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedical educationPsychologyFamily medicineMedicine

Abstract

fetched live from OpenAlex

<ns4:p>This article was migrated. The article was marked as recommended. Background: This workshop was the second activity of the collaboration between the McMaster University, Botucatu Medical School- São Paulo State University (UNESP) and Pontifical Catholic University of Minas Gerais – PUC Minas that took place in Botucatu, Brazil between March 27th to 28th 2017. Aims: Its prime purpose was to share with the Brazilian professors and students how to include evidence-based concepts in their daily teaching activities. Methods: The participants were involved and guided in discussions on how to explore evidence-based techniques to improve their understanding and their willingness to include new teaching strategies in the future. Results: A final evaluation survey completed by the participants indicated that they were highly satisfied with the workshop experience and that they gained an enhancement of knowledge about evidence-based medicine. Conclusion: Participants had an increase in their self-confidence to implementevidence-based concepts in their future lecture programs.</ns4:p>

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.

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)0.009
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.119
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.462
GPT teacher head0.513
Teacher spread0.052 · 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