Evaluating food security in Nunavut: preliminary results from the Inuit Health Survey
Bibliographic record
Abstract
This research paper reports on the food security status, general household and country food (CF) characteristics of the Kivalliq and Qikiqtaaluk regions in Nunavut.A community-participatory, cross-sectional Inuit Health Survey was conducted among self-identified Inuit adults in the Canadian north in the summer and fall of 2007 and 2008.A total of 1,038 randomly selected households completed a household questionnaire.Food insecurity affected 70.5% of participating Inuit households; 32.2% of households were moderately food insecure and 38.3% were severely food insecure.Households with children reported significantly higher rates of food insecurity (p=0.0056) and severe food insecurity (p=0.0001)compared to households without children.Approximately 65% of Inuit households reported an active hunter, 79% would prefer to eat more CF than they can get, and 54% of households relied on family and friends for CF.Inuit-specific data for Nunavut will inform future monitoring activities and help guide future policies and programs.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".