Notice bibliographique
Résumé
The Recognition Lecture is an annual honor awarded by the Association of American Veterinary Medical Colleges (AAVMC) to an individual whose leadership and vision have made significant contributions to academic veterinary medicine and the veterinary profession. In 2011, this prestigious honor was awarded to Dr. Peter Eyre, Dean Emeritus of the Virginia-Maryland Regional College of Veterinary Medicine (VMRCVM). Dr. Eyre is a fierce advocate for veterinary medical education, with a clear vision of its value in ensuring that veterinarians are well positioned to meet societal needs. Dr. Eyre possesses an international perspective regarding the challenges and problems facing veterinary medical education and has a keen eye for getting to the heart of these challenges. He is known to ask hard questions and propose difficult choices. Dr. Eyre received his undergraduate veterinary degree (BVMS), bachelor of science degree, and PhD from the University of Edinburgh. He was Lecturer in Pharmacology at the Royal (Dick) School of Veterinary Studies for seven years before joining the faculty of the University of Guelph's Ontario Veterinary College, where he was Chair of the Department of Biomedical Sciences and Associate Director of the Canadian Centre for Toxicology. Dr. Eyre was appointed Dean of the VMRCVM in 1985, where he established the Center for Government and Corporate Veterinary Medicine in 1989. After retiring in 2003, he was named Interim Dean of the University of Calgary's new veterinary school. Among his many awards are the Norden Distinguished Teacher Award and the Sigma Psi Excellence in Research Award. In 2008 the American Veterinary Medical Association (AVMA) honored him with the President's Award, and in 2010 the University of Edinburgh awarded him the honorary degree of Doctor of Veterinary Medicine and Surgery. The Peter Eyre Student Leadership Award at the VMRCVM and the Peter Eyre Prize in Pharmacology at the University of Guelph are both named in his honor. He is a past president of the AAVMC, a fellow and former board member of the American Academy of Veterinary Pharmacology and Therapeutics, and a former member of the AVMA Legislative Advisory Committee. In the following article, Dr. Eyre offers his insights on the current debate about the future of veterinary medical education.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 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 tête enseignante, 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 ».