The intersection of structure and agency within charitable community food programs in Toronto, Canada, during the COVID-19 pandemic: cultivating systemic change
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
Prior to the COVID–19 outbreak, food insecurity was already a serious public health problem in Canada, impacting 12.7 percent of households. In recent years, activists, practitioners and researchers from a range of health–related disciplines, have debated the legitimacy of food banks and other charitable food programs, contending that policy and programs at the federal level must be prioritized to address the underlying root causes of poverty. This paper challenges the discourse that charitable food programs prevent or distract from Canada’s social equity goals. Alternatively, this paper argues that programs and initiatives at the local level can emerge to bring short–term stability and self–sufficiency to local communities while also advocating for longer–term structural change. Drawing upon structuration theory and critical ecologies of anti–Black racism, we examine the work of BlackFoodToronto, a food sovereignty initiative, to illustrate the negotiation of power and agency, and how groups and networks react to and reshape confining and enabling structures through collaborative practice. In addressing Canada’s food security crisis, this paper offers an alternative perspective of community–based, nonprofit and charitable programs, which in practice, can help inform future food security policy and related health equity and community development strategies.
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.
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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.010 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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