Hunting for Food Security Strategies: Analyzing the Commercialization of Traditional Inuit Foods in Nunavut
Bibliographic record
Abstract
In Inuit communities in Nunavut, foods such as seal, caribou and Arctic char have traditionally been regarded as common resources to which every member of the community is entitled access. In recent times, a complex combination of colonial influences have marginalized the role of country foods and caused food insecurity in the territory to rise to alarming rates. In response to these trends, many Inuit have begun adopting strategies that commercialize country foods, or incorporate them into the monetary economy through cash-based exchange with other Inuit. [...] I find that country food exchanged using social media is substantially cheaper than analogous imported food items. Using this, I argue that commercializing country food can serve as an adaptive strategy for Inuit to alleviate food insecurity if such initiatives remain ‘made-in-Nunavut’ and guided by Inuit ecological and kinship-based values; but that this should not preclude an interrogation of the colonial nature of the food crisis in Nunavut.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".