THE ASSOCIATION BETWEEN CANMEDS ROLE-SPECIFIC IMPLICIT THEORIES OF INTELLIGENCE AND PLANNING FOR RESIDENT REMEDIATION
Notice bibliographique
Résumé
This thesis explores two components of motivational theory that have been unexplored in the context of medical education. First, we applied the notion of motivational dimensionality to physician competence. Previous research on implicit theories of intelligence demonstrated that people hold different beliefs regarding different aspects of intelligence/ability, instead of a global mindset. We applied this to the CanMEDS Framework and showed that respondents held different theories of intelligence regarding the Professional and Medical Expert Role. Second, we aimed to determine if one’s implicit theories are related to their decisions around remediation planning. We hypothesized that respondents would view remediation as either an opportunity for a resident to develop competence or as an opportunity for them to demonstrate their fundamental lack of ability. Here, we showed that one’s own beliefs, or theories of intelligence, not only mediate how they behave in the training environment, but also mediate how they manage others. In the first of two studies, we measured implicit theories amongst residents, faculty, and experts in medical education at McMaster University regarding both the Professional and Medical Expert CanMEDS Roles and asked them how much effort would be required for a resident to remediate performance deficits in either Role. The second study took place at University of Toronto and involved a similar design. Residents and faculty in the Department of Obstetrics and Gynaecology were invited to participate in a study that measured implicit theories of intelligence and then asked respondents to develop remediation plans for residents described in case vignettes. Drawing on experience in the Board of Examiners, 6 cases were developed, 3 that represented Medical Expert deficits, and 3 that described Professional deficits. The results showed that respondents viewed the Professional Role as relatively more “fixed” than the Medical Expert Role. Those views corresponded to stricter remediation planning, characterized by a short duration of remediation, stricter consequences of failure, and a lower perceived likelihood of success paired with a higher perceived likelihood of Professional deficits in the future. These results supported the hypotheses that the implicit theories of intelligence differ according to the dimension of physician competence in question. Professional was considered to be more fixed, relative to Medical Expert, and in keeping with the theorization, the resultant remediation plans appeared more as an opportunity to demonstrate a fundamental lack of ability than an opportunity for the resident to develop competence. These findings are consistent with those in other studies, where a fixed theory of intelligence was associated with a “helpless” behaviour pattern, characterized by low persistence, and challenge avoidance. We were able to show that one’s implicit theories extend beyond the self and can influence how an individual manages the education of another. This work sheds light on some of the factors that man influence remediation decision-making and adds to the conversation surrounding professionalism as competency versus an attribute.
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 | 0,034 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
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 ».