Bibliographic record
Abstract
Samuel James Taylor (known as ‘James’) was born on 13 December 1929 in Carrickfergus, Northern Ireland. He spent most of the first eleven years of his life in Africa, tutored by his mother. James took his first degree at Queen's University, Belfast, and went on to study for a PhD in Pure Mathematics at Peterhouse College, Cambridge, with A. S. Besicovich. He was appointed a Lecturer in Birmingham in 1955 and moved to Westfield College in 1962 as a Reader and from 1964 Professor. The years 1975–1983 were spent at the University of Liverpool, followed by the University of Virginia from 1984 until 1996, when James retired and returned to the UK to settle in Sevenoaks, Kent, remaining active in research. The main theme of his life-time research involved the fine sample path properties of stochastic processes and their Hausdorff measures properties. He is survived by his wife Maureen of 64 years, his four children Richard, Charles, Jonathan, and Helen, seventeen grandchildren and six great-grandchildren.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.018 | 0.013 |
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".