What is the role of community fridges in the UK? An exploratory mixed methods study
Bibliographic record
Abstract
Abstract Background More than one-quarter of the world's population is experiencing severe or moderate food insecurity, yet one-third of all food produced is lost or wasted. In response to this paradox, countries such as Spain, Germany and the UK have introduced community fridges: 'a public space where organisations and households can make perishable foods that would have been wasted available to the community'. The UK is home to the world's first national community fridge network, comprising 90 operational fridges that have so far redistributed 780 tonnes of surplus food. Other fridges exist outside of this network but little is known about what they do or who they serve. The objective of this study was to explore the role of community fridges in the UK. Methods A mixed methods approach was used, involving an online survey of community fridge organisers and telephone interviews with a purposively selected sample of respondents. The survey was piloted before being distributed via email and social media. Forty-seven responses were received from individuals representing 42 community fridges, and in-depth interviews were conducted with eight respondents. Data were analysed using thematic analysis. Results Three main roles fulfilled by community fridges were identified: reducing food waste; helping those in need; and building a sense of community. Some participants were reluctant to describe their work as being linked to food insecurity, citing the potential for stigmatisation. Others indicated that their primary goal was to tackle hunger in a non-stigmatising way, by providing free access to nutritious foods. A minor theme involved creating opportunities to build community cohesion. Conclusions Community fridges may form part of efforts to reduce food waste and tackle growing levels of food insecurity in the UK. This is an area ripe further for research, given the potential to promote sharing and social cohesion but also the risks in terms of stigma, hygiene and food safety. Key messages The UK is home to the world's first national community fridge network, but little is currently known about what these fridges do or who they serve. Community fridges have a role in reducing food waste, addressing food insecurity and building community cohesion, although stigma remains a concern.
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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 | 0.011 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".