Bibliographic record
Abstract
1University of New Hampshire, Durham, NH 03824; and 2Samuel Lunenfeld Research Institute, Toronto, Ontario, Canada M5G 1X5 Professor Charles E. Warren, a truly outstanding scientist, colleague, and faculty member at the University of New Hampshire, died in a paragliding accident, July 30, 2005, leaving friends, relatives, and colleges saddened by his tragic loss. Charles was educated at the University of Oxford, where he received his D. Phil. in 1990. After graduation, he helped establish one of the first commercially focused efforts in glycotechnology with Oxford Glycosystems, Ltd. He subsequently moved to Toronto to broaden his interest in glycosyltransferases and returned to the fundamental business of science, that of discovery. Charles spent two postdoctoral years with Dr. Harry Schachter, at the Hospital for Sick Children Research Institute in Toronto. He then spent 10 years with Dr. Jim Dennis at the Samuel Lunenfeld Research Institute (Toronto), where he pioneered the glycobiology of Caenorhabditis elegans. He coined the abbreviation “gly” for glycosyltransferase genes in the worm and made seminal contributions to their early functional analyses. Charles moved to the University of New Hampshire in 2002 as an Assistant Professor in the Department of Biochemistry and Molecular Biology. He resided in Newmarket, New Hampshire on the Lamprey River. Charles had a major impact and lasting impression on very many people, but particularly his students, whom he was proud to see develop as independent thinkers. Charles valued efficiency, and seeing a need, he volunteered to establish and maintain the Society for Glycobiology Web site (http://glycobiology.org), including systems for abstract submission and registration for the Society’s annual meetings. Around this centerpiece portal, the Society evolved from an ad hoc annual gathering to the organizational structure we now know and appreciate. Charles was a friend, colleague, and associate to many people, and his low-key demeanor, ability to integrate the bigger picture and focus beyond the trivia of everyday life was inspiring to all who knew him well. Charles loved the many adventures life offered and lived with optimism and enthusiasm for it all. His extended professional family and friends around the world mourn his tragic loss. The memory of such an adventuresome friend and outstanding scientist will remain with us long into the future.
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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.045 | 0.025 |
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".