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Dalhousie University Faculty of Medicine

2006· article· en· W4206457023 on OpenAlexaffabout
Betsy Chambers

Bibliographic record

VenueAcademic Medicine · 2006
Typearticle
Languageen
FieldMedicine
TopicHealth and Medical Research Impacts
Canadian institutionsDalhousie University
FundersBlue Cross and Blue Shield Association
KeywordsNova scotiaMedical schoolMedical educationDowntownLibrary scienceMedicineGeographyArchaeology

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.991
Threshold uncertainty score0.641

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0070.001
Open science0.0020.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.5510.203

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.165
GPT teacher head0.437
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2006
Admission routes2
Has abstractyes

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