Nudging Toward Sustainable Food Consumption at University Canteens: A Systematic Review and Meta-Analysis
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
INTRODUCTION: This systematic literature review and meta-analysis investigated the effectiveness of the nudging approach toward sustainable food consumption in the university canteen context. METHODS: The systematic literature search was carried out in 5 databases, Web of Science, PubMed, Scopus, ProQuest, and the Royal Library, identifying 14 eligible studies and selecting 9 articles containing adequate information for meta-analysis. The nudging strategies were classified using the typology of interventions in the proximal physical microenvironments framework that resulted in 5 different intervention types: availability, position, size, presentation, and information that belonged to either intervention class-altering properties or placement. RESULTS: The study identified presentation, availability, and information as the most promising nudge intervention for achieving sustainable food consumption at the university canteen or similar settings. Nudging by altering the properties had a small effect size (d = 0.16), and nudging by altering placement showed a medium effect size (d = 0.21). DISCUSSION: Nudging interventions implemented after understanding consumers' current behavior showed positive effectiveness toward sustainable food consumption rather than implementing random nudges. CONCLUSIONS AND IMPLICATIONS: It is important that future studies aim to achieve sustainable food consumption by understanding canteen user food preferences and food choice motives before designing a nudging strategy.
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.
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) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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