Practice‐based spillover effects: Evidence from Calgary's municipal food and yard waste recycling pilot
Bibliographic record
Abstract
Analyzing the spillover effects of environmental interventions is vital for understanding how they contribute to broader societal transitions towards or away from sustainability. Past research analyzing spillover effects has produced inconsistent results, which we argue is in part due to its assumption that social life consists of rational and autonomous individuals. By contrast, we place practices as central units of inquiry, arguing that social practice theory opens up promising alternative sets of theoretical and methodological possibilities for analyzing spillover effects. Using the City of Calgary's municipal food and yard waste recycling pilot program known as the “Green Cart Pilot” (GCP) as a case study, we adopt a mixed methods approach to analyze practice‐based spillover effects (PSEs). The results suggest that the GCP had positive PSEs on dry recycling and food shopping, and negative PSEs on home composting. These PSEs could be tracked through the shared elements and geographies of mutually evolving practices, providing opportunities to respond with further interventions informed by social practice theory. Effets d'entraînement fondés sur la pratique : Preuve du programme pilote municipal de recyclage des déchets de cuisine et des résidus de jardin de Calgary L'analyse des effets d'entraînement des interventions environnementales est essentielle pour comprendre la façon dont ils contribuent à des transitions sociales plus importantes vers ou à l'encontre de la durabilité. Les recherches antérieures analysant les effets d'entraînement ont produit des résultats contradictoires qui, faisons‐nous valoir, sont dus en partie à leur postulat d'une vie sociale formée de personnes autonomes et rationnelles. À titre de comparaison, nous plaçons les pratiques comme unités centrales de l'enquête, affirmant que la théorie de la pratique sociale dégage une série de possibilités théoriques et méthodologiques différentes et prometteuses pour l'analyse des effets d'entraînement. En utilisant le programme pilote municipal de recyclage des déchets de cuisine et des résidus de jardin de la ville de Calgary connu sous le nom de « Green Cart Pilot » comme étude de cas, nous adoptons une approche de méthodes mixtes à l'égard de l'analyse des effets d'entraînement fondés sur la pratique (EE). Les résultats suggèrent que ce programme a eu des EE positifs sur le recyclage des matériaux secs et l'achat d'aliments et des EE négatifs sur le compostage domestique. Ces EE pourraient faire l'objet d'un suivi au moyen de géographies et d'éléments partagés de pratiques mutuellement changeantes, offrant des possibilités de répondre au moyen d'autres interventions documentées par la théorie de la pratique sociale.
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.
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 | 0.037 | 0.102 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".