Old World Conventions and New World Curiosities: North American Landscapes Through European Eyes
Bibliographic record
Abstract
This paper examines the published accounts of three British travellers, Patrick Campbell (fl. c. 1765-1823), Isaac Weld (1774-1856), and George Heriot (1759-1839), to North America in the late eighteenth century. Focusing specifically on the travellers' scientific approaches to the natural landscape, it argues that they drew on eighteenth-century European scientific developments, including empirical observation, the evolution and instability of matter, and systems of classification, to facilitate their understanding of unfamiliar phenomena. The travellers' scientific observations revealed both an intellectual interest in the origin of landforms and a utilitarian view of wildlife and natural resources. Attracted to the novel and curious, the travellers' scientific speculations merged with initial aesthetic responses, highlighting a preoccupation with the power, spontaneity and magnitude of nature.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".