Participation in residential organic waste diversion programs: Motivators and optimizing educational messaging
Bibliographic record
Abstract
Participation in residential organic-waste-diversion-programs (OWDP) represents an individual-level behaviour with significant environmental benefits, including lowering greenhouse gas emissions. This study of 2621 Niagara, Canada, residents sought to understand the attitudinal and sociodemographic drivers of participation and non-participation in OWDP. Additionally, we examined the impact of messaging about the benefits of OWDP on likelihood of future participation while varying the frame and perceived source of information. Participants reported environmental factors as the main motivators for OWDP involvement, while non-participants cited smell, inconvenience and cost as the most salient barriers. Several sociodemographic and knowledge factors predicted participation, as did strong recognition of the anthropogenic origins of climate change. Forty two percent of non-participants were more likely to participate after receiving the educational message, but this did not vary with information source nor a social-norm frame. These findings inform theory around pro-environmental behaviour and provide actionable information for education campaigns aimed at promoting OWDP.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".