Food insecurity in Yukon communities during COVID-19: A qualitative study
Bibliographic record
Abstract
Food insecurity increased in Canada during the COVID-19 pandemic; in the Yukon Territory, the Whitehorse Food Bank saw its scope increase significantly as smaller Yukon communities were requesting deliveries of food while travel restrictions were in place. In this qualitative study, the researchers conducted semi-structured interviews with food bank clients in Whitehorse and two smaller Yukon communities, as well as representatives of other organizations that were involved in community food security initiatives. The results revealed five main themes emerging from shared client experiences and impacts from the pandemic: emphasis on the hamper as core food on an ongoing basis, the importance of traditional foods, food insecurity and access, the role of the Whitehorse Food Bank in supporting informal networks in communities, and ideal food situations that focused on an abundance of fresh and land-based foods. The results show some contrast between needs in Whitehorse and needs in smaller, more remote Yukon communities. Because of limited access to fresh foods in communities outside of Whitehorse, merely increasing income supports would not completely alleviate food insecurity for these participants, who they lack physical access as well as economic access to fresh, preferred foods.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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".