The role of empathy in food literacy initiatives in schools
Bibliographic record
Abstract
The multidisciplinary research on empathy, commonly agreed to be the ability to take another person's perspective, has come a long way in the attempt to describe and understand its wide scope of action.This master's thesis intends to explore the role of empathy in food literacy initiatives in the observed case studies, specifically in their attempt to foster prosocial food choices.Food literacy is part of a larger paradigm which intends not only to educate people about healthy eating, but providing both critical and functional knowledge regarding food-related decisions.As this thesis' focus is to understand the role of empathy in promoting prosocial food choices, food literacy inside the school environment was utilised as the channel.In order to understand the role of empathy in food literacy at school phenomenon in practice, this thesis' methodological approach was a multiple case study, which brought together 3 food literacy initiatives in 3 very diverse school scenarios: the Food Literacy course in Britannia Secondary School in Canada, the Landless Workers Movement Itinerant School in Brazil and the Fairtrade Schools in the United Kingdom.The adopted data analysis method was an inductive content analysis of the cases official releases, other relevant documents and two open-ended interviews.The conclusion is that the role of empathy in food literacy initiatives in schools are three: expanding affiliation, betting on the collective and biosphere consciousness.This thesis did not test the causal relationship of empathy in food literacy and food choices, but utilised a combination of literature on empathy and food consumption as well as case studies to justify its positions in the findings.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".