La Société internationale francophone d’éducation médicale (SIFEM) :
20 ans au service de la promotion de l’innovation, de la collaboration et de la recherche dans le champ de la formation des professionnels de la santé
Bibliographic record
Abstract
ÉDITORIALLa Société internationale francophone d'éducation médicale (SIFEM) : 20 ans au service de la promotion de l'innovation, de la collaboration et de la recherche dans le champ de la formation des professionnels de la santé Chères lectrices, chers lecteurs, Vous trouverez, dans ce nouveau numéro de Pédagogie Médicale, des articles de recherche en éducation des sciences de la santé et trois tribunes que les auteurs des conférences plénières du Congrès international de pédagogie des sciences de la santé (CIFPSS) de mai 2021 ont accepté de retranscrire pour les partager avec vous.Ce numéro reflète la dynamique de recherche, la pluralité des thématiques abordées et la place centrale qu'occupe l'interprofessionnalité au sein de notre communauté.La rédaction de la revue a confié la rédaction de l'éditorial de ce numéro au bureau de la SIFEM, nous permettant de communiquer sur l'évolution de notre société savante, comme nous avons l'habitude de le faire régulièrement.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.010 | 0.008 |
| Insufficient payload (model declined to judge) | 0.028 | 0.009 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".