Bibliographic record
Abstract
Despite its small population, or perhaps because of it, Canada has produced a large number of dedicated, creative and energetic plastic surgeons who have been leaders in craniofacial, microvascular, transplantation, hand, nerve and aesthetic surgery. They have earned worldwide reputations as researchers, teachers and clinicians. Some have continued to broaden their experience in Canada, while others have exported their expertise to other lands, most notably to our southern neighbour, the United States, where many have become outstanding professors and department heads. There has always been a common bond with our American cousins. We have joined and contributed to each other’s organizations and associations. Dr E Fulton Risdon of Toronto, Ontario, founding member and first President of the Canadian Society of Plastic Surgeons, was also a founding member and the third President of the American Association of Plastic Surgeons and a founding member of the American Board of Plastic Surgery. Dr Bruce Williams of Montreal, Quebec is a Past-President of both the Canadian Society of Plastic Surgeons and the American Society of Plastic Surgeons. Dr Bruce Connell of California is a Past-President of the Canadian Society for Aesthetic (Cosmetic) Plastic Surgery. The American Society of Plastic Surgeons has held its annual meeting in Canada on numerous occasions. The editorial board of The Canadian Journal of Plastic Surgery is made up of outstanding colleagues from coast to coast in both countries. To further this bond, the board of The Canadian Journal of Plastic Surgery unanimously voted to distribute the journal to our American colleagues as both a courtesy and a forum to discuss new ideas and new problems in our specialty of plastic and reconstructive surgery. I hope it will be well received. Peter E Wyshynski
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.018 | 0.089 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.017 | 0.009 |
| Scholarly communication | 0.020 | 0.009 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.009 | 0.026 |
| Insufficient payload (model declined to judge) | 0.033 | 0.021 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".