Peut-on évaluer les effets de la formation continue ? Le cas des pratiques professionnelles du pharmacien d’officine
Bibliographic record
Abstract
L’objet de notre recherche est d’évaluer les effets des actions de formation continue sur les pratiques professionnelles du pharmacien d’officine diplômé. Cet objectif a nécessité la construction d’un protocole méthodologique appliqué à une telle situation et élaboré à partir d’une « référentialisation » justifiant le choix des indicateurs d’évaluation. Les résultats mettent en évidence une potentielle amélioration de la relation entre le pharmacien et le prescripteur, une prise de conscience éclairée par le pharmacien de son rôle actif dans la prévention de la pathologie iatrogène médicamenteuse, une meilleure utilisation pratique de l’outil informatique, une approche éducative du patient plus active.
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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 | 0.039 | 0.094 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".