Books between Europe and the Americas Connections and Communities, 1620-1860
Bibliographic record
Abstract
Notes on the Contributors Acknowledgements Abbreviations Introduction L.Howsam & J.Raven Reaction to the 1622 Virginia Massacre: An Early History of Transatlantic Print C.Armstrong Fiction and Civility Across the Seventeenth-Century English Atlantic: Teaching the History of Faustus J.Mylander Transatlantic News: American Interpretations of the Scandalous and Heroic P.Whitman Hunter Print and Manuscript in French Canada under the Ancient Regime F.Melancon Bookmen, Naturalists, and British Atlantic Communication, c. 1730-60 N.Wrightson The Dutch Book Trade in Colonial New York City: The Transatlantic Connection J.D.Goodfriend Classical Transports: Latin and Greek Texts in North and Central America before 1800 J.Raven 'A Small Cargoe for Tryal': Connections between the Belfast and Philadelphia Book Trades in the Later Eighteenth Century M.O'Connor From the French or Not: Transatlantic Contributions to the Making of the Brazilian Novel S.G.T.Vasconcelos 'Learning from Abroad?': Communities of Knowledge and the Monitorial System in Independent Spanish America E.R.Vera Business and Reading Across the Atlantic: W. & R. Chambers and the United States Market, 1840-60 A.Fyfe 'The Power of Steam': Antislavery and Reform in Britain and America, 1844-60 R.J.Scholnick Conclusion L.Howsam & J.Raven
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.036 | 0.005 |
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".