Incorporating evidence-based principles in medical training. Sharing experience with McMaster
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.
Bibliographic record
Abstract
<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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it