Bibliographic record
Abstract
Abstract Victor Snaith was born in Colchester, Essex, on 15 March 1944 and passed away in Bristol on 3 July 2021 at the age of 77. He completed his PhD at the University of Warwick in 1969 under the supervision of Luke Hodgkin. He held faculty positions in Canada, at the University of Western Ontario (1976–88) and McMaster University (1988–98), and became a leading figure in the Canadian mathematical research community during that time. He was named a Fellow of the Royal Society of Canada in 1984, and held the first Britton Professorship at McMaster University. He returned to the United Kingdom in 1998, to professorships at the University of Southampton (1998–2004) and the University of Sheffield (2004–2009) from where he retired in 2009. He was an active member of the Heilbronn Institute from 2006 until the time of his passing. Snaith made significant research contributions in various areas, including the Snaith splitting theorem in stable homotopy theory, the introduction of the Bott periodic form of algebraic K‐theory, and the explicit Brauer induction theorem with its applications in algebraic number theory. He is survived by his wife Carolyn, son Dan, and daughters Anna and Nina.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.015 | 0.010 |
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".