Communications affichées
Bibliographic record
Abstract
Problmatique : La facult de mdecine de l'universit catholique de Louvain a pour projet de crer des rfrentiels qui permettront de mettre en vidence la qualit des formations et d'identifier les forces et faiblesses des programmes en sciences de la sant. Il s'agit de formaliser une bonne pratique et de tenter de s'en rapprocher le plus possible. Nous souhaitons rflchir et crer un rfrentiel propos de ce que l'on attend concrtement du futur diplm la fin de nos formations. Qu'est-ce qu'un bon dentiste ? Un professionnel qui se contente de bien soigner ses patients ? Ou un praticien rflexif, autonome, capable de dvelopper de nouvelles connaissances tout au long de sa carrire, ... ? Ces rflexions s'inscrivent galement dans le contexte des cadres europens (Bologne et Copenhague).
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 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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; both teacher heads agree on what is shown here.
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".