Bibliographic record
Abstract
This chapter tracks the Arctic experiences of Roderick MacFarlane, John Murdoch, Middleton Smith, Frank Russell, and Eduoard de Sainville to highlight transformations in imperial engagements with Inuit and the northern environment between 1850 and 1890. It argues that studying the Arctic through the British or Russian fur trade in the 1860s led scientists to identify Inuit and northern nature as dangerous, in part because the logistics of trade relations—common to both commerce and research—were mediated by Inuit. In contrast, with the arrival of a commercial whaling industry to the Beaufort Sea in the 1870s, naturalists enjoyed more widespread travel and exchange throughout the Inuit territories of the western Arctic. As a result, scientific notions of a dangerous Arctic were replaced with concerns about the effects of whaling on whale populations and Inuit cultures. The chapter ends by foreshadowing the consequences and disruptions of these relations among nature, knowledge, and society across the twentieth century.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.093 | 0.025 |
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".