The garbage gospel: Using the theory of planned behavior to explain the role of religious institutions in affecting pro-environmental behavior among ethnic minorities
Bibliographic record
Abstract
This study used Azjen's Theory of Planned Behavior to examine how pro-recycling and pro-environmental messaging delivered by religious leaders affects stated recycling behavior among ethnic minorities. Using data collected from 12 religious institutions in three Ontario, Canada, communities, a promotion and education program was developed to: (1) increase awareness about existing waste management programs in the region; (2) describe what materials should be recycled; (3) highlight the importance of recycling (to the individual, to the community, and to the environment; and (4) make a direct appeal asking households to participate in their region's recycling programs. Post implementation of the P&E campaign, respondents indicated a statistically significant increase in positive attitudes toward recycling, moral norms, levels of perceived behavioral control, and awareness of recycling consequences. Perceived behavioral control, situational factors, attitudes, and moral norms were found to be the most significant predictors of recycling intention. Community leaders were demonstrably more successful in affecting positive change in stated recycling behavior among minorities relative to previous municipal promotion and education efforts.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".