Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.013 | 0.000 |
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 it