Bibliographic record
Abstract
List of Illustrations Acknowledgements Notes on Contributors Introduction. Wondering about 'the Causes of Causes'. The Publisher's Series, its Cultural Work and Meanings PART II: The Series, the Academy, and the World J.Spiers The American Publisher's Series Goes to War, 1942-1946, J.B.Hench The Spanish Collections of Herder Verlag: International Catholic Literature A.C.Viro Adamantios Korais' The Greek Library (1805-1827): An Ingenious Publisher and The Making of a Nation N.Yakovaki Fabricating a National Canon: The Role of Richard Bentley and George Robertson in Developing and Marketing the Australian Library A.Rukavina Series for Women in 19th Century Netherlandsl L.Kuitert Leonard Bast's Library: Aspiration, Emulation and the Imperial National Tradition R.Fraser Negotiating the List: Launching Macmillan's Colonial Library and Author Contracts S.Towheed Household Words: An Account of the 'Bengal Family Library' A.Gupta Great Books by the Millions: J. M. Dent's 'Everyman Library' T.I.Seymour 'The Green and the Gold': Publisher's Series in 19th-century Ireland E.Tilley One Series After Another: The Macmillan Company of Canada R.Panofsky Index
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.204 | 0.086 |
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".