Bibliographic record
Abstract
Acknowledgements du roman: cohabitation de récits profanes et de textes sacrés dans trois recueils vIt is a standard trope to state that the editor's debts are many, but, despite being conventional, such statements are usually true.I would, therefore, like to thank the Pepys Library, Magdalene College, Cambridge for access to the manuscript of Caxton's text, and also the British Library, the Bibliothèque nationale de France and the National Library of Russia for supplying me with microfilm copies of manuscripts in their collections.Research for this project was supported by the Social Sciences and Humanities Research Council of Canada through a Standard Research Grant and I am very grateful for their assistance.The edition was begun at Villanova University and the majority of the work completed at the University of Western Ontario and both institutions were very encouraging and patient with such a large project.A variety of research assistants worked on Caxton over the years, including Michael Kightley and Sean Henry.Special thanks are due to Erica Leighton whose work at various stages has been extraordinarily helpful.Their input has been invaluable and their good humour as I worked through textual conundrums has been very welcome.Charles Ruud bridged a language barrier that threatened to delay work and I am very grateful for his help.Jane Toswell offered a great deal of valuable advice not only on editing but on the deceptively complex process of finishing such a project and her encouragement has always been much appreciated.I have been saved from innumerable embarrassments by Mario Longtin who volunteered a great deal of his time and expertise to correcting my understanding of Caxton's source texts.Unfortunately, an acknowledgement and a few lunches are no real recompense for his contributions.The editorial board at the Pontifical Institute has been generous with their time and input.Specifically, I would like to thank the anonymous readers for their careful and detailed assessments of the project, Fred Unwalla for his valuable advice and Megan Jones for both her care and her patience.The finished text is greatly improved for their collective efforts.
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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 | 0.044 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.435 | 0.358 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".