Notice bibliographique
Résumé
To the Editor: The recent Academic Medicine article by Riesenberg and colleagues,1 designed to describe the historical development of nonphysician medical educators and develop a job description resource, was comprehensive in its scope. However, the article and one of the accompanying commentaries2 raise a significant concern that we must address as a community of medical educators. I am a clinical psychologist who has worked in medicine for over 25 years—as a clinical psychologist and therapist, as a teacher and supervisor, as a faculty developer, and as a medical educator. At no time have I considered or called myself a nonphysician medical educator (or NPME, an acronym used in the commentary).2 In fact, I strongly believe that (1) my identity is defined by who I am and by what I do—not by what I am not, (2) nonphysicians are not a homogeneous group—just as physicians are not, and (3) the notion of non implies a concept of exclusion, not inclusion, and by default does not promote interprofessional respect or collaboration. At a recent meeting of the Association for Medical Education in Europe, I asked a group of medical educators how they define themselves. Their responses ranged from physician and nurse to sociologist, anthropologist, political scientist, basic scientist, researcher, and educator. No one defined themselves as nonphysicians. Although I realize that the literature uses that term, I would think that a comprehensive review such as the one by Riesenberg and colleagues should have addressed the term's limitations and not continued to promote a homogenized view of roles and history. In addition, the authors, all respected individuals in their fields, should have specified their search terms so that we could begin to understand the discourse that is used in the literature. We should also be aware of the discourse in their article. Why, for example, might it be necessary to “replace” the physician educator? And why should we “use” nonphysician medical educators to “control costs” or view these individuals as a “cost-effective way to meet medical education needs”? In my opinion, we are all in this endeavor together. Some might suggest that I should propose an alternate term for nonphysicians. I would argue, however, that we should not lump any group of individuals (or professionals) into one category; rather, we should acknowledge the breadth and depth of the different skills we all bring to medical education and begin to appreciate heterogeneity. We should also value diverse strengths and abilities and recognize individual identities: We all are who we are, not who we are not. Yvonne Steinert, PhD Associate dean, faculty development, and director, Centre for Medical Education, Faculty of Medicine, McGill University, Montreal, Quebec, Canada; [email protected].
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 | 0,005 | 0,027 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,004 | 0,009 |
| Communication savante | 0,010 | 0,014 |
| Science ouverte | 0,003 | 0,008 |
| Intégrité de la recherche | 0,006 | 0,014 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,021 | 0,007 |
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 ».