The food security of Inuit women in Arviat, Nunavut: the role of socio-economic factors and climate change
Bibliographic record
Abstract
ABSTRACT Climate change has been identified as compromising food security in many case studies with Inuit communities in Canada. Largely neglected in the scholarship however, is research focusing on the gendered dimensions of Inuit food security in a changing climate. This paper reports on a community based participatory research project involving semi-structured interviews with Inuit women (n = 42), 10 focus groups (n = 40), key informant interviews (n = 8), and participant observation, to identify and characterise the determinants of food security among Inuit females in the community of Arviat, and examine the role played by climate and climate change. Results indicate that significant changes in climate being observed are not currently affecting female food security, with socio-economic-cultural factors primary determinants of food security. The nature of the traditional food system in Arviat based on harvesting land mammals reduces sensitivity to changing sea ice conditions which have been problematic in other Inuit communities. However, dependence on a limited number of animals for diet (primarily caribou, arctic char) increases sensitivity to potential future disruptions caused by climate change to these species and reduces response diversity as a coping mechanism.
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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 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 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".