Prevalence of food insecurity in a Greenlandic community and the importance of social, economic and environmental stressors
Bibliographic record
Abstract
OBJECTIVES: Characterize and examine the prevalence of food insecurity in Qeqertarsuaq, Greenland, and identify stressors affecting the food system. STUDY DESIGN: A mixed-methods study using quantitative food security surveys and semi-structured interviews. METHODS: Food security surveys (n=61) were conducted with a random sample of 6% of Qeqertarsuaq's population. Semi-structured interviews (n=75) allowed participants to describe in their own words their experience of food insecurity and permitted in-depth examination of determinants. Key informant interviews were used to provide context to local perspectives. RESULTS: Prevalence of food insecurity (8%) is low. However, interviews reveal a more nuanced picture, with women, adults aged 55+, and non-hunters reporting constrained access to Greenlandic foods. Barriers restricting traditional food access include changing sea ice conditions, reduced availability of some species, high costs of hunting and purchasing food, tightening food sharing networks, and hunting and fishing regulations. CONCLUSIONS: While the Qeqertarsuaq food system is relatively secure, the research highlights susceptibility to social, economic and environmental stressors which may become more prevalent in the future.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".