Waste management as foodwork: A feminist food studies approach to household food waste
Bibliographic record
Abstract
Food waste in Canada is estimated to amount to $31 billion per year, with approximately half of this waste occurring in households (Gooch & Felfel, 2014). However, household food waste studies remain underrepresented in the literature, particularly in a Canadian context. This paper calls on feminist food scholars to contribute to this gap by incorporating food waste analyses into their food research. This study uses a photovoice methodology and feminist analytical perspectives to investigate the moment when food became “waste” in 22 households in Guelph, Ontario. Findings suggest that food waste production is representative of forms of foodwork (DeVault, 1991), and that attention to food wasting reveals embodied knowledges of food and interactions with the food system. We contend that scholars and those concerned with household waste reduction should examine and consider how the responsibility for food waste management has been constructed to fall along gendered lines. The intersection of these findings with ongoing research in feminist food scholarship reveals that feminist food scholars are well placed to contribute to food waste studies.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.018 | 0.038 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| 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".