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Record W2925142607 · doi:10.1177/2292550319826091

Shaping Plastic Surgery in British Columbia—The Courtemanche Legacy

2019· article· en· W2925142607 on OpenAlexafffundabout
Yaeesh Sardiwalla, Steven F. Morris

Bibliographic record

VenuePlastic Surgery · 2019
Typearticle
Languageen
FieldMedicine
TopicHistory of Medical Practice
Canadian institutionsDalhousie University
FundersHospital for Sick Children
KeywordsInternshipSick childMedicineGeneral hospitalPlastic surgeryMedical schoolFamily medicineMedical educationSurgeryPediatrics

Abstract

fetched live from OpenAlex

Dr Albert Douglas Courtemanche was born in Gravenhurst, Ontario on November 16, 1929. In 1949, he was accepted to the University of Toronto Medical School, graduating in 1955. After completing his internship at the Toronto General Hospital and at the Hospital for Sick Children, he completed his surgical training in Vancouver and in the United Kingdom. When Dr Courtemanche returned from his training in 1962, he joined Dr Cowan on the surgical staff at the Vancouver General Hospital. He was responsible for establishing a new plastic surgery ward, a dedicated operating room (OR), an integrated burn unit and also starting the UBC plastic surgery training program. Dr Courtemanche became involved in working with the Royal College, first as an examiner and then as the Chairman of the Plastic Surgery Exam Board in 1981. He eventually became the first and only plastic surgeon to ever hold the position as President of the Royal College. Dr Courtemanche emphasized throughout his career the importance of teaching and role modeling. A very proud moment in Dr Courtemanche's career was when his son Douglas became a pediatric plastic surgeon. After retiring Dr Courtemanche became a volunteer at the VanDusen Botanical Garden and completed their Master Gardeners Program.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.088
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.133
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.088
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.039
GPT teacher head0.253
Teacher spread0.214 · 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; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2019
Admission routes3
Has abstractyes

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