Dr Patricia Clugston—A Spirit of Determination
Bibliographic record
Abstract
Dr Patricia Clugston was a British Columbia native who completed her plastic surgery residency training in Vancouver in 1993 before pursuing a fellowship in Nashville with Dr Patrick Maxwell in 1994. When Dr Clugston returned to Vancouver, she helped to establish a comprehensive and renowned breast reconstruction program. She spent her career advocating for and working towards better treatment options for women seeking breast reconstruction. As a determined surgeon and accomplished athlete, Dr Clugston was truly a tour de force in all aspects of her life. Patty, as she was affectionately known by her colleagues, loved her job. Dr Clugston was an avid advocate for medical education and an outstanding clinical researcher and speaker that established her as a shining star in Canadian plastic surgery. Patty had always lived life to the fullest and was determined that scleroderma would not change this. Her sharp wit, intellectual curiosity, and pragmatism masked an incredible courage as she fought bravely against a cruel disease. Dr Clugston died on March 1, 2005, at the age of 46 surrounded by the loving company of her husband, friends, and family at the Vancouver General Hospital. The Dr Patricia Clugston Chair in Breast Reconstruction was established in her name to honour her legacy and continue to improve the care of patients with breast cancer.
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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 | 0.004 | 0.039 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.010 |
| Insufficient payload (model declined to judge) | 0.055 | 0.029 |
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".