The ‘deer‐men’ and the ‘bowhead‐men’: The colonial co‐optation of Arctic Indigenous knowledge within the ‘origins of the Inuit’ debates
Bibliographic record
Abstract
Abstract Drawing on recent literatures that explore the complicated role of ‘Indigenous intermediaries’ within histories of geographical exploration, and bringing these into dialogue with research exposing the colonial nature of geographical knowledge, this article studies the ways in which information extracted from an Indigenous Arctic informant named Nocum was crucial in the formation of troubling geographical understandings regarding Inuit ‘origins’ and migration. The article analyses the extractive nature of the intellectual contributions offered by the American traveller and scholar William Healey Dall, and situates them amidst their troubling imperial and racialised context. The article concludes by arguing that geographers must continue to identify and reflect critically on the role of indigenous peoples within the historical (co)production of geographical knowledge, but that they must be equally attentive to the ways this knowledge was regularly used to inform and justify various forms of imperial intervention and colonial violence.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.043 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".