Bibliographic record
Abstract
The core objective of the CHORIZO project is to deepen our comprehension about how social norms (socially enforced rules and expectations) influence behaviours related to food waste generation. The project includes 6 real-life case studies to obtain primary data about how social norms shape behaviour at various stages along the food supply chain. The case studies were selected to represent not only these varying stages, but to also represent a diverse range of regional contexts and socio-economic conditions. An overview of the current contexts relevant to each case study is given to provide the necessary background.This deliverable focuses on the results of the case studies. Integrating survey, in-depth interviews, and focus group interview data into analysis, patterns and correlations between social norms and food waste related behaviour were explored. Analysis across the case studies focused primarily on 4 food-related social norms: Good Provider Identity, Portion Size and Food Affluence, Suboptimal Food/Undesirable Food Quality, and Associations Between Food Waste Behaviour and Socio-EconomicStatus. The most prevalent of these social norms proved to be Suboptimal Food/Undesirable Food Quality and Good Provider Identity.The deliverable extends the discussion by utilizing the empirical evidence generated by the case studies to delve into what possibilities there are to promote new learning strategies and communication packages about how to address food waste. The aim being to provide vital information to help all actors along the food supply chain to better address what drives food waste related behaviour. While each case study is unique, there emerged similarities among the case studies when it came to communication and learning strategies to mitigate food waste generation, primarily: the need to focus on providing a better understanding about date-marking, training needed in the procurement, storage, meal planning, and usage of leftovers, and enhanced abilities and venues to facilitate communication and collaboration among actors along the supply chain.Ultimately, the results presented in this deliverable will be used within the project as input for work package 4 when determining how to best generate communication and learning packages and create capacity-building activities. External to the project, the results are envisioned to contribute to future research and policy to address social norms and behaviour in the pursuit of achieving near zero food loss and waste.
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How this classification was reachedexpand
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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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; both teacher heads agree on what is shown here.
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".