Mobile applications to reduce food waste within Canada: A review
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 a devastating effect on the environment, economy, and society. Within Canada, food waste is alarmingly high and on the rise. Technology and mobile applications have been theorized as a potential solution to redistribute food before it becomes waste, raise awareness of food waste, and support behaviours that reduce food waste. This paper critically reviews the literature on mobile applications’ effectiveness in reducing food waste within Canadian society. This review found that mobile applications may assist households and individuals with adequate technology, time, and financial resources to reduce their food waste. However, emphasizing mobile applications alone can place the burden of food waste and inequitable food systems on individuals at the end of the food supply system. Food waste reduction needs to be part of an integrated, multifaced portfolio of interventions at governmental, industry, and individual levels. Mobile applications can serve a role in such a portfolio. Mobile applications alone do not eradicate food waste within Canada and households without adequate awareness, resources, or infrastructure .
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.015 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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