Bibliographic record
Abstract
Food culture refers to a shared value system, norms, symbols, and perceptions.Yet within the food and nutrition sector, it is often reduced to traditional foods, dishes, or cuisines-a narrow view that constrains how food culture could be leveraged to shape future food preferences and habits.This working paper reviews Indonesian food culture broadly, seeking to understand and appreciate the country's diverse cuisine.The paper draws on data from governmental reports, academic papers, media reports, social media analysis, and expert interviews.The results show that Indonesian food culture is multidimensional.It can be depicted as consisting of eight dimensions: Simplistic Abundance, Receptiveness, Fraternity, Negotiation, Halalness, Food Security, Frugality, and Women as Knowledge Bearers.Each dimension reflects a set of ideas (beliefs, values, norms) and set of dietary practices within Indonesian food culture.Of the eight dimensions, four are highly relevant within wider Indonesian culture: Receptiveness, Simplistic Abundance, Negotiation, and Fraternity.Receptiveness focuses on Indonesians' propensity to welcome external influence in their food culture.Simplistic Abundance highlights Indonesian cuisine's reliance on its locally abundant resources and variety of produce.Negotiation focuses on the importance of human-nature connection.Fraternity refers to the strong emphasis on the social and cultural values of equality, gratitude, and unity, all of which are strengthened through communal dining experiences.These dimensions can be used to unlock new food narratives, change beliefs, connect with social identity, and strengthen culinary systems to shift preferences towards more nutritious or more sustainable choices.Their use will be most impactful if they can be linked to a food preference issue that needs to be addressed to improve nutrition in Indonesia, such as carbohydrate-rich diets, low vegetable consumption, high consumption of discretionary foods, and or out-of-home food consumption. KEY MESSAGES• Food culture is important to shape food preferences and habits.• Indonesian Food Culture can be understood as a set of eight dimensions each with varying importance and roles in shaping food practices.• Each dimension reflects a set of ideas (beliefs, values, norms) and set of dietary practices.• The eight dimensions are: Simplistic Abundance, Receptiveness, Fraternity, Negotiation, Halalness, Food Security, Frugality, Women as Knowledge Bearers.• Of the eight, four dimensions deserve particular attention for their relevance and ubiquity across diverse, regional cuisines: Simplistic Abundance, Negotiation and Receptiveness, and Fraternity.
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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 | 0.000 | 0.000 |
| 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 | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".