Bibliographic record
Abstract
In a book that examines how writing is transformed for print, and that emphasises the sociable and collaborative nature of the process, an acknowledgements section presents an opportunity to refl ect upon the many people and institutions that have supported my research.I am supremely fortunate to work in the English Department at Simon Fraser University, with an exceptional community of scholars working in the fi elds of print culture and book history.I have the incredible good fortune to be colleagues with Betty Schellenberg, one of the leading scholars of eighteenth-century manuscript culture, whose research, happily enough for me, ends just before the Romantic period.We often half-jokingly discussed issuing our books in two parts, and it is my fondest hope that this book may be found to be a worthy follower to her Literary Coteries and the Making of Modern Print Culture 1740-1790.I am also grateful to Colette Colligan, who has provided me with conceptual and organisational suggestions, ongoing moral support, and more working titles than I care to recall.Leith
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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 | 0.007 | 0.046 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.392 | 0.306 |
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".