An Ethnographic Study of Meal Programs for Homeless and Under-Housed Individuals in Toronto
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Over the past two decades, Canada has witnessed a proliferation of community-based initiatives providing charitable meals to homeless and under-housed individuals. The existing research has raised concerns about the ability of such initiatives to meet users' nutrient needs. As part of a study of Toronto meal programs, open-ended interviews with program coordinators and observations of 16 meal programs were conducted to provide insight into the nutritional vulnerability of program users. Analysis using ethnographic methods revealed that, although charitable meal programs began in response to concerns about unmet food needs, the planning and delivery of meals are disconnected from the dietary needs of program users. Food was often a secondary service, designed to fit within the existing operations, resources, and mandate of the host agency. This work adds to calls for a rethinking of current responses to problems of hunger and food insecurity among individuals living in poverty in Canada.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 it