Controlling Migration: How Martha of the North and Exile Reclaim Inuit Sovereignty
Bibliographic record
Abstract
In the twenty-first century, there is increased awareness in Canada about the horrors of residential schools and the destructive actions of the government towards First Nations peoples. But this education has not extended to the histories of Arctic Indigenous peoples, whose experience of settler colonialism is different because of their geographical location. Until outside intervention, Inuit had been semi-nomadic, populating the North with small, mobile communities, as this way of life was best suited for hunting and traditional practices. Beginning in the 1950s, the Canadian government forced Inuit into centralized communities, pressuring them to leave their lands and thereby destroying a traditional way of life that had been in place for thousands of years. This article will explore the negative consequences of ‘domicide’, or the killing of one’s home, and the cultural devastation that followed. Years later, the relocation and its impacts were depicted in Inuit-made documentaries, such as Marquise Lepage’s Martha of the North in 2008, and Exile by Zacharias Kunuk in 2009. In this chapter, I will detail how Inuit-made film is helping Northerners reclaim Arctic sovereignty, documenting for future generations how their ancestors lived.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.026 | 0.018 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".