Shedding More Light on the State of Interprofessional Education
Notice bibliographique
Résumé
To the Editor: We are writing in response to the recent article by Drs. Paradis and Whitehead.1 As the University of Toronto’s (UT’s) Centre for Interprofessional Education (CIPE) is referred to as a particular example, we wish to offer a few points of clarification. First, the authors describe the CIPE as “overseeing four core learning activities,” which is not the current state of our curriculum framework. In fact, oversight is provided by a health-sciences-wide Inter-Faculty Curriculum Committee. This strategic arrangement has two key advantages: (1) all involved faculties, regardless of size, have access to an integrated IPE curriculum for their students; and (2) the cost is significantly lower than if all faculties created their own curriculum. In representing IPE at UT, the authors focus on activities offered to large numbers of students in small groups, giving parenthetical acknowledgment to the foundational role of workplace-based learning, which takes shape through clinical placements and practice-based electives. Indeed, clinical IPE placements preceded the IPE curriculum. Our evaluation framework considers the interactions between small-group learning in IPE activities and workplace-based learning, rather than treating each as stand-alone—or parenthetical—activities. Second, the authors operationally define IPE as occurring at the undergraduate level. In putting forward this restricted definition, a more expansive understanding of IPE as a novel contribution to the field is then proposed; however, this is already well established. Indeed, the CIPE supports education for collaboration across the continuum, providing a range of opportunities at undergraduate and postgraduate levels, as well as professional and faculty development programs customized to participants’ workplaces. IPE curriculum is developed with patients and practitioners to reflect practice realities. Further, the CIPE is operationally situated in both education and practice systems as a strategic endeavor between UT and University Health Network, who are joint governors and funders. The authors’ definition of IPE obscures these kinds of institutional relationships and their importance to the field. Finally, we wish to address the authors’ comment regarding the “wizardry” and “event management skills” of those that develop, deliver, support, and evaluate IPE. We acknowledge the logistical demands of a robust IPE program, and we commend the leadership and expertise required to meet such demands. Indeed, much of health professions education (HPE) is reliant on the often-invisible work of those who support any curriculum. IPE is no exception. However, we wish to correct the implication that having the skills required to meet such logistical demands precludes the ability to be either scholarly or rigorous. Such a claim is damaging not just to those who support IPE but to all who support HPE. It risks making invisible the important scholarly work upon which all of HPE depends. At the CIPE and across our broad community, we continue to develop, learn, and innovate collaboratively, and we look forward to further rigorous academic work in the field. Maria Tassone, MScDirector, Centre for Interprofessional Education, University of Toronto, Toronto, Ontario, Canada; [email protected] Dean Lising, MHScStrategy lead, Interprofessional Education Curriculum/Collaborative Practice Lead, Centre for Interprofessional Education, University of Toronto, Toronto, Ontario, Canada. Sylvia Langlois, MScFaculty lead, Interprofessional Education Curriculum and Scholarship, Centre for Interprofessional Education, University of Toronto, Toronto, Ontario, Canada.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,013 | 0,064 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,004 | 0,007 |
| Communication savante | 0,011 | 0,012 |
| Science ouverte | 0,006 | 0,004 |
| Intégrité de la recherche | 0,026 | 0,050 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 0,003 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».