“We Make It Work Because We Must”: Narrating the Creation of an Urban Indigenous Food Bank in London, Ontario, Canada
Bibliographic record
Abstract
This research draws from a community-engaged methodology and qualitative interviews to narrate the creation and daily operations of an Indigenous food bank in London, Ontario, Canada. In-depth interviews (n = 10) with program leaders, volunteers, and recipients detailed the day-to-day operations, including where and how foods were collected and distributed, and a preliminary analysis of the meanings and challenges of the food bank. The key strengths of the food bank are its focus on cultural safety, provision of traditional foods, and its community-led approach. The limitations of the food bank relate to the structure of the workload and sustainability of program funding. Community-led research with Indigenous non-profit organizations, such as that presented here, offer approaches that are critically important for creating culturally relevant and inclusive data that can both explain and address Indigenous health inequities, and provide the evidence needed to advocate for change.
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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 | 0.001 | 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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".