Le PPC comme moyen de renforcer le pouvoir d’agir des professionnels de la pharmacie : la plateforme <i>CPhA Learning</i>
Bibliographic record
Abstract
À l'instar du champ d'exercice des pharmaciens, le monde passionnant du perfectionnement professionnel continu (PPC) a lui aussi évolué et pris de l'expansion.Jouant un rôle sans cesse grandissant en tant que membres essentiels de l'équipe de soins, les pharmaciens, de nos jours, fournissent plus de services cliniques que jamais, notamment l'évaluation et le traitement d'affections courantes, la déprescription, les services de santé aux voyageurs, la prescription et l'administration de vaccins, et plus encore.Les pharmaciens profitent désormais d'un champ d'exercice élargi, d'où la nécessité de conserver une longueur d'avance en répondant à leurs besoins en matière de possibilités de formation, afin qu'ils puissent se tenir à jour et continuer d'avoir confiance dans leurs connaissances et leurs compétences, quel que soit le stade de leur carrière.
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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 | 0.010 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.037 | 0.011 |
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".