Bibliographic record
Abstract
Despite the fact that Nuqallaq was following Inuit customary law in carrying out a collectively sanctioned act to defend the community from the dangerously crazed trader Robert Janes, Canadian authorities made the unprecedented decision to put him and two accomplices on trial for murder. Grant shows how this decision was motivated by Canada's international political concerns for establishing sovereignty over the Arctic and how the outcome of the trial - Nuqallaq's sentence to ten years of hard labour in Stony Mountain Penitentiary and subsequent death from tuberculosis - was determined more by fear than evidence. In what amounts to a social history of North Baffin Island in the twentieth century, Grant offers telling portraits of the people involved, including the victim, Robert Janes of Newfoundland; Captain J.E. Bernier of the CGS Arctic, explorer and friend to the Inuit; English trader and entrepreneur Henry Toke Munn; the investigating RCMP officer Staff-Sargeant A. H.; Judge L. A. Rivet, and others. Most importantly we meet the remarkable Nuqallaq, his wife Ataguttiaq, and the Inuit of North Baffin Island. Arctic Justice will appeal to anyone interested in the Arctic and its indigenous peoples, contact history, anthropology, legal history, and RCMP history.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.022 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".