Waste management as foodwork: A feminist food studies approach to household food waste
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
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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