Impacts of place and social spaces on traditional food systems in southwestern Ontario
Bibliographic record
Abstract
Processes of environmental dispossession have had dramatic consequences for dietary quality, cultural identity, and the integrity of traditional food systems (TFS) in many Indigenous populations. These transitions have not been documented among First Nation people in southwestern Ontario, and virtually no studies have investigated TFS in southern or urban regions of Canada. Nested within a larger community-centred project designed to better understand the social and spatial determinants of food choice and patterns of food security, the objective of this paper was to explore First Nation mothers’ knowledge about access, availability, and practices relating to traditional foods in the city of London, Ontario, and nearby First Nation reserves. In 2010, twenty-five women participated in semi-structured interviews that were audio recorded, transcribed, and analyzed with input from community partners. Our results centre on the women’s stories about access, preferences, knowledge, and sharing of traditional foods. Those living on a reserve relied more consistently on traditional foods, as proximity to land, family, and knowledge permitted improved access. Urban mothers faced transportation and economic barriers alongside knowledge loss related to the use and preparation of traditional foods. Overall our results demonstrate uneven geographic challenges for First Nation engagement in TFS, with urban mothers experiencing uniquely greater challenges than those residing on a reserve.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| 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".