The limitations of an informational campaign to reduce household food waste at the community scale
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
In this study, we designed and tested a household food waste intervention in the County of Wellington, Canada. This small study compared control households (n = 20) to those receiving an intervention package (n = 32). Food waste generation rates and composition were observed through waste composition audits before and after the intervention, and participants’ feedback on the intervention was received through a survey (n = 7). We found that although the informational campaign was generally not successful in reducing food waste generation at the community scale (possibly due to intention-behavior gaps), there is potential for such interventions to encourage a sub-set of individuals toward reduction behaviors when appropriately targeted and delivered. • An interventional campaign was not effective in reducing household food waste. • Providing information and tips is not enough to change complex wasting behaviors. • Targeted interventions may nudge some individuals toward reduction behaviors.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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