Bibliographic record
Abstract
Much of the background to this book was acquired during preparation of other related, even unrelated books and articles, so that my thanks are initially due to the Canada Council, the Social Sciences and Humanities Research Council, and the Dalhousie Research and Development Fund, all of which at various times did so much to make those researches possible, whether at the Vatican Archives in Rome, Montpellier, or London, Berkeley, and elsewhere in the United Kingdom.In 1987 I was invited to deliver the Bertie Wilkinson Memorial Lecture at Toronto, choosing as my topic "Edward II: A Continuing Enigma."It was an honour to pay tribute to a historian who had made extensive and detailed contributions to the subject on which I was so rashly to engage.It brought to mind many convivial roast beef banquets at Hart House in his company.My more immediate debt is due to Clare Hall, Cambridge, for my initial visiting fellowship, which saw the inception of this book more or less in its present form, my subsequent visits there, and my acceptance as a life member in 1990.One of the great concomitant blessings was the use of the Cambridge University Library in which I examined most of the secondary sources and a number of the primary ones.It was there too that I was first introduced to the advantages of word-processing on a Macintosh computer, a mainstay ever since.From my son-in-law, Professor Alexander Jones, of the University of Toronto, an expert in such matters, I am much indebted for solving the many software hazards which afflict the inexperienced.Adrian Suggett, another of my sons-in-law, a PC hardware engineer, I am happy to thank for coming to my rescue more than once when the "machinery" proved recalcitrant or inoperative.Thanks to both of them and to Macintosh for relegating the labours which I recall in connection with earlier volumes to mere horror stories from the past.I am, of course indebted, as before, more particularly to the Bodleian Library, British Library, Public Record Office, and the Institute of Historical Research, not to mention the many English local Record Offices.Adrian James, the assistant librarian of the Society of Antiquaries of London, has always promptly provided copies, as well as the books themselves.More recently I have been par-Rclqio'wkdgme.nts
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 | 0.005 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.377 | 0.262 |
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".