Food reclamation as an approach to hunger and waste: A conceptual analysis of the charitable food sector in Toronto, Ontario
Bibliographic record
Abstract
The study of the organized practice of food reclamation for charitable distribution can be situated within broader debates of hunger, poverty, social justice, ecological sustainability, and community development. In this paper, a conceptual analysis will be used to explore some of the debates surrounding the use of food reclamation as an approach to social policy and waste diversion. Focusing on the charitable food sector in Toronto, Ontario, and the work of organizations such as Second Harvest Toronto, this paper will briefly address criticisms of food reclamation in response to food insecurity and proposed alternatives to the charitable food assistance system. Although the development of alternative food security approaches that move away from donor-driven initiatives will be crucial to challenging the larger socio-economic and political factors that produce and perpetuate poverty, hunger, and the prevention of access to nutritional food, it is clear that charitable food reclamation and distribution organizations will continue to play a significant and valuable role as a food security actor within the communities they serve.
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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 | 0.004 |
| Science and technology studies | 0.017 | 0.014 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".