Surveyors of empire Samuel Holland, J. W. F. Des Barres, and the making of the Atlantic Neptune
Bibliographic record
Abstract
British imperial power was greatly bolstered by new techniques in surveying and map-making during the eighteenth century. Well before James Cook sailed for the Pacific in 1768, British army engineers working on the coastline from Quebec to Rhode Island had set new scientific standards for cartography that would assist the British in mapping future conquests. Surveyors of Empire explores the groundbreaking work of these engineers, which formed the basis of The Atlantic Neptune, a four-volume hydrographic atlas that stands as a monument of European Enlightenment science. Using research from both sides of the Atlantic, Stephen Hornsby examines the development of British military cartography in North America during and after the Seven Years War, as well as advancements in military and scientific equipment used in surveying. At the same time, he follows the land speculation of two leading surveyors, Samuel Holland and J.F.W. Des Barres, and the publication history of The Atlantic Neptune. Richly illustrated with images from The Atlantic Neptune and earlier maps, Surveyors of Empire is an insightful account of the relationship between science and imperialism, and the British shaping of the Atlantic world.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".