Increases in Household Food Waste in Canada as a Result of COVID-19: An Exploratory Study
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
The era of the COVID-19 pandemic has resulted in a variety of individual lifestyle and behavioural changes, and could, therefore, potentially involve a shift towards more sustainable food systems. This research was conducted through an online survey of cross-sectional design. We surveyed 8272 Canadians in August of 2020. Participants answered questions about socio-demographic food waste amounts in kilograms, and food-waste-management behaviours. In this exploratory study, we assessed the relationships between socio-demographic variables, and self-reported food-waste behaviours through two-tailed significance testing. Results indicated that Canadian households self-reported an insignificant decrease in food waste during the pandemic. Respondents reported allowing food to expire, not utilizing leftovers, and not finishing meals. Understanding food-waste behaviour changes is key to designing effective mitigation strategies to reduce household food waste and to minimize the environmental consequences with which food waste is associated.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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