Exploring homelessness and Indigenous food Systems in northern British Columbia
Bibliographic record
Abstract
People experiencing homelessness are known to be highly food insecure, but outside of emergency aid little is known about their overall experiences with food, particularly in Canada’s northern communities. This study examined experiences that influenced access to food for people experiencing homelessness in a small city in northern British Columbia. Early findings underscored the importance of the impacts of colonization when seeking to understand food access in this context, and the value of lived experiences (including people with experiences of homelessness) when seeking to understand Indigenous food systems and food sovereignty as part of a re-emerging food system. The research drew on ethnography and case study methodology with modified community mapping to explore the food systems of the participants, who identified as First Nations, Métis or had mixed Indigenous and European ancestry. A focus group and subsequent interviews revealed a dynamic and complex food system. The flexible research design enabled participants to creatively express the food-related issues, challenges and successes most pertinent to their lives. Key food-related themes were social connections, as well as connections to the land and to culture. Participants’ experiences, actions and desires regarding food, health and well-being highlighted Indigenous food sovereignty as an overarching concept which offers an adaptable, holistic approach that can accommodate complexity. It is a valuable direction for future research and practice seeking to improve food security and health.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.016 | 0.006 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".