Consumers’ perceptions and behavior toward food waste across countries
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 has become a global issue that has received increased attention. Food waste at the household level is a major source of food loss in developed countries. While culture is an important factor shaping people’s behavior, comparison of food waste behaviors across countries and regions are still limited. This study uses primary data covering the US, Canada, the UK, and France to understand and compare consumers’ food waste behaviors. While we found some common drivers for food waste behavior appliable to all countries, such as age, eating away from home, and using expiration dates, we confirmed that consumers behave significantly different across countries. For example, personal factors such as employment status, household size, and environmental concerns are only found significant in certain countries. Similarly, while convenience-driven consumers tend to waste more across countries, only European consumers who are price and advertising conscious tend to increase their food waste frequency. Moreover, many well-known food waste prevention actions, such as making a shopping list, preserving and freezing food, and being willing to consume leftovers, only appear to work in certain countries.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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