Bibliographic record
Abstract
Table of Contents Introduction: The Far Side of the Ocean James Delbourgo and Nicholas Dew (McGill University) Part One: Networks and Circulations 1. Controlling Knowledge: Navigation, Cartography, and Secrecy in the Early Modern Spanish Atlantic Alison Sandman (James Madison University) 2. The Geography of Precision in the French Atlantic World Nicholas Dew (McGill University) 3. Circulations: Benjamin Franklin's Atlantic as Medium and Message Joyce E. Chaplin (Harvard University) Part Two: Writing the American Book of Nature 4. A New World of Secrets: Occult Philosophy in the Sixteenth-Century Atlantic Ralph Bauer (University of Maryland) 5. Tropical Empiricism: Making Medical Knowledge in Colonial Brazil Junia Ferreira Furtado (Federal University of Minas Gerais) 6. American Climate and the Civilization of Nature Jan Golinski (University of New Hampshire) Part Three: Itineraries of Collection 7. Empiricism and Identities in the Spanish Atlantic World Antonio Barrera (Colgate University) 8. Fruitless Botany: Joseph de Jussieu's South American Odyssey Neil Safier (University of Pennsylvania) 9. Atlantic Competitions: Botany in the Eighteenth-Century Spanish Empire Daniela Bleichmar (University of Southern California) Part Four: Contested Powers 10. The Electric Machine in the American Garden James Delbourgo (McGill University) 11. Diasporic African Sources of Enlightenment Knowledge Susan Scott Parrish (University of Michigan) 12. Mesmerism in Saint Domingue: Occult Knowledge and Voodoo on the Eve of the Haitian Revolution Francois Regourd (University of Paris - Nanterre) Afterword: Science, Capitalism and the State Margaret C. Jacob (UCLA)
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.047 | 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".