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Enregistrement W4206457023 · doi:10.1097/00001888-200602000-00012

Dalhousie University Faculty of Medicine

2006· article· en· W4206457023 sur OpenAlexaffabout
Betsy Chambers

Notice bibliographique

RevueAcademic Medicine · 2006
Typearticle
Langueen
DomaineMedicine
ThématiqueHealth and Medical Research Impacts
Établissements canadiensDalhousie University
Organismes subventionnairesBlue Cross and Blue Shield Association
Mots-clésNova scotiaMedical schoolMedical educationDowntownLibrary scienceMedicineGeographyArchaeology

Résumé

récupéré en direct d'OpenAlex

Dalhousie University’s Faculty of Medicine, popularly known as Dalhousie Medical School (DMS), was founded in 1868 by local physicians who envisaged a facility to train doctors for Nova Scotia, New Brunswick, and Prince Edward Island (collectively known as Maritime Canada). Among the founders was Sir Charles Tupper, the first president of the Canadian Medical Association and the man who in 1867 led Nova Scotia into Canadian confederation. The school’s principal research and teaching facility, the Sir Charles Tupper Medical Building, was named for him. Originally, the medical school was housed in a small room at Dalhousie College in downtown Halifax, Nova Scotia. There was a dean, nine teachers, and 12 students. To obtain anatomy instruction, students climbed into the attic through a trap door. From these humble beginnings, the medical school has grown into the largest health research faculty in Atlantic Canada. Today it occupies three buildings and incorporates a network of more than 100 teaching sites throughout Maritime Canada, including nine affiliated teaching hospitals. The school boasts more than 1,300 faculty members, and has 21 clinical and basic science departments, 380 undergraduate medical students, 450 postgraduates (residents), and 270 graduate students. Since its founding, the school has graduated more than 7,000 physicians and has contributed to the training of at least as many research scientists. Although most Dalhousie-trained physicians have gone on to practice in the Maritime provinces, Dalhousie medical graduates and researchers fill positions in many of the world’s top medical institutions. Dalhousie’s approach to medical education, research, and care is distinguished by its strong focus on the communities and the region served by the school. Teaching and training are conducted at sites around the Maritimes. Research programs are also constructed to respond to prevalent health problems in the regional population. At the same time, DMS enjoys a reputation far and wide for excellence and innovation. It was one of the first medical schools in North America to admit women, to create a continuing medical education (CME) program for practicing physicians, and to emphasize communications skills and the humanities in medical teaching. Today, Dalhousie CME, as well as its programs in communications skills, faculty development, and medical humanities are internationally renowned. More recent “firsts” include Canada’s inaugural graduate program in medical informatics, the discovery of the gene responsible for a rare genetic eye diseases known as Familial Exudative Vitreoretinopathy (FEVR), and the world’s first robotic brain telesurgery resulting in a successful craniotomy for removal of a brain tumor in a patient 400 kilometers (250 miles) away. Dalhousie Medical School faculty have also been instrumental in the development of current heart transplantation protocols used worldwide, in changing the accepted view of pediatric pain, and in denoting the role of lifestyle in reducing the risk of Alzheimer’s disease and dementia. One of the most significant discoveries ever made in the field of cancer research—the capability of the common reovirus to infect and kill cancer cells—was made by a Dalhousie medical researcher. The Brain Repair Centre, an adjunct of the medical school, has Canada’s only neural transplantation program, and is a world leader in the repair of neuronal circuitry in Parkinson’s disease and spinal cord injury. Adaptation, growth, and innovation remain hallmarks of DMS as it continues to respond to Maritime Canadian health needs with excellence in teaching and clinical care backed by cutting-edge research.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,991
Score d'incertitude au seuil0,641

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,003
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,001
Études des sciences et des technologies0,0030,001
Communication savante0,0070,001
Science ouverte0,0020,004
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,5510,203

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.

Tête enseignante Opus0,165
Tête enseignante GPT0,437
Écart entre enseignants0,272 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations4
Publié2006
Routes d'admission2
Résumé présentoui

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