SCOTTISH MEDICAL ETHNOGRAPHY: COLONIAL TRAVEL, STADIAL THEORY AND THE NATURAL HISTORY OF RACE,<i>c.</i>1770–1805
Bibliographic record
Abstract
Abstract This paper will present a comparative analysis of the ethnographic writings of three colonial travellers trained in medicine at the University of Edinburgh: William Anderson (1750–78), Archibald Menzies (1754–1842) and Robert Brown (1773–1858). Each travelled widely beyond Scotland, enabling them to make a series of observations of non-European peoples in a wide variety of colonial contexts. William Anderson, Archibald Menzies and Robert Brown in particular travelled extensively in the Pacific with (respectively) James Cook on his second and third voyages (1771–8), with George Vancouver (1791–5) and with Matthew Flinders (1801–3). Together, their surviving writings from these momentous expeditions illustrate a growing interest in natural-historical explanations for diversity among human populations. Race emerged as a key concept in this quest, but it remained entangled with assumptions about the stadial historical progress or “civilization” of humanity. A comparative examination of their ethnographic writings thus presents a unique opportunity to study the complex interplay between concepts of race, savagery and civilization in the varied colonial contexts of the Scottish Enlightenment.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".