HARRY SCHACHTER obituary
Bibliographic record
Abstract
Well known glycobiologist Harry Schachter passed away on 2024 April 17 in Toronto, at the age of 91. He was the loving husband of his wife Judy, loving father of his children Asher and Aviva, and grandfather of Adam, Noah, Sarah and Audrey. Glycobiologists will miss him as a kind and humble person who constantly went out of his way to include everybody in his circle of colleagues with respect and acceptance. He always had the full and loving support of Judy. Harry Schachter was gifted with tremendous intellect and drive to discover the biochemical basis of diseases. He was a role model for his trainees, collaborators and colleagues. Harry was a great ambassador for the glycobiology field. At conferences, he invariably had probing questions for the speakers, and loved to contribute to the discussion after the sessions. He took notes and eagerly shared the meeting highlights with students and colleagues at the weekly Toronto Glycobiology meetings. With an outstanding scientific career, he pioneered the discovery of new enzymes and pathways in the biosynthesis of glycoproteins. He was a wonderful colleague and respected scientist, encouraging clarity and emphasizing honesty in scientific discourse. The world is enriched by Harry’s groundbreaking work that provided foundations for understanding the functions of glycoproteins in health and disease.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.153 | 0.114 |
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".