Beyond Nanook’s Smile: Visual Sovereignty in <i>Nanook of the North</i>
Bibliographic record
Abstract
This research highlights previously unexplored sites of visual sovereignty in the seal hunt scene from Nanook of the North (1922) by putting it in conversation with Angry Inuk (2016), an Inuit-produced documentary that counters anti-sealing rhetoric. Nanook of the North is commonly criticized for its racist view of Inuit, however these critiques have prevented scholars from seeing clear expressions of Indigenous sovereignty within the text. To highlight these expressions, I rely on a rhetorical analysis of Nanook of the North and Angry Inuk using Michelle Raheja’s “visual sovereignty” as my reading practice. Significantly, I have found distinct parallels between the way that Inuit knowledge, joy, and material culture are centered in both films. The centering of Inuit knowledge and culture throughout Nanook’s seal hunt scene indicates that further sites of sovereignty may exist in the film, pushing back against postcolonial critiques that see Nanook as an irredeemable colonial product. Consequently, Nanook has potential to be repurposed as pro-sealing rhetoric to counter the same anti-sealers Angry Inuk addresses.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.008 | 0.009 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".