‘Kalli in the ship’: Inughuit abduction and the shaping of Arctic knowledge
Bibliographic record
Abstract
This article examines the contributions made to Arctic knowledge by Kallihirua, a member of the Inughuit community of Northern Greenland who was abducted by the crew of the Assistance during the 1850–51 expedition in search of the missing ships Erebus and Terror. Unpacking this important moment of cultural encounter, the article explores the ways in which Kallihirua’s presence on board the ship became embroiled in wider scholarly debates pertaining to the ‘origins of the Inuit’ and to the historical migrations of human beings around the world. Furthermore, it studies the ways in which this ‘indigenous intermediary’ became an important influence on the emergent scholarly disciplines of anthropology and geography which were undergoing a process of institutionalization and professionalization during this period. The article therefore contributes new insights into the fundamental, yet overlooked, roles that Arctic indigenous peoples have historically played in shaping non-indigenous knowledge about the region.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.021 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".