1.4 Research and the dental student
Notice bibliographique
Résumé
There has been significant concern that the dental curriculum and system of clinical education, in particular, is not designed to take advantage of the explosion in knowledge in biomedical science and its application to the health of the public. Although there are some examples of innovations in dental education on a global scale that have the capacity to increase the assimilation of basic and clinical knowledge, most of the dental education models are mired in the traditional '2 + 2' approach to education. This can be seen in North America and the European '2 + 3' model or the stomatological '4 + 2' approach. In each of these systems, the basic and behavioural science courses continue to be perceived as hurdles over which students must leap in order to reach the clinical programmes where there is little opportunity to use basic science information to advance patient care and treatment. Examples of issues that are not well represented include: innovations in imaging; diagnosis; bio-materials; science-based approaches to clinical practice; novel approaches to therapeutics; interactions between the oral, dental and craniofacial complex and systemic health and disorders; the role of oral infections and systemic disease; the increasing appreciation of chronic diseases and disorders such as osteoporosis and diabetes that affect oral tissues; the promise of bioengineering, tissue engineering and biomimetics; the potential use of saliva as a diagnostic tool; the understanding of oral complications of cancer treatment; the treatments of HIV/AIDS diseases and hepatitis; the use of dental and dental hygiene staff on health-care teams to deal with issues such as birth defects, orofacial trauma, head and neck cancer, chronic pain management and so on. There seems to be an excessive emphasis on restorative dentistry and, to a lesser extent, on the more biological approaches to diagnosis, prevention and therapeutics. This continued lack of integration of basic and clinical sciences in the curriculum continues to foster a dental workforce that is highly technically competent to provide specific clinical services but poorly equipped to evaluate and implement new biological approaches to diagnosis, therapeutics and intervention. Unfortunately, after many attempts by organized dental symposia aimed at the integration of basic and clinical sciences, there has been little discernible curricular change. It appears that there is an opportunity through this global congress to identify the best practices in the various global curricula that could change this paradigm in dental education and lead us toward the education of a more scientifically orientated practitioner-one who can take advantage of innovations in new and emerging technologies in their application to patient care. It is the challenge of this section to try to ascertain the best method or methods by which dental education promotes research to the dental student and what research represents in terms of critical thinking and evidence-based approaches to dental education and clinical practice.
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 | 0,018 | 0,022 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,009 | 0,010 |
| Communication savante | 0,019 | 0,008 |
| Science ouverte | 0,002 | 0,014 |
| Intégrité de la recherche | 0,009 | 0,013 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,078 | 0,028 |
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 ».