A comparative analysis of food retail policy landscape in four Southeast Asian countries
Bibliographic record
Abstract
Changing food retail environment in Southeast Asia has been linked with nutrition transition. While policy on food retail tends to focus on economic considerations, little is known about how nutrition considerations are integrated. This paper examines the landscape of policies addressing food retail and health in Indonesia, Malaysia, the Philippines, and Thailand to inform global nutrition targets. Food retail policy landscapes in the study countries were thematically analyzed using Walt & Gilson's Policy Analysis Triangle framework. The analysis revealed that food retail policies were predominantly shaped by health, economic development, and politics, with nutrition maintaining low salience and being subsumed within food safety considerations. The study countries represented a complex food policy landscape requiring inter-sectoral collaboration and multi-level governance, yet formal monitoring mechanisms and evidence remained limited. This study recommends developing a comprehensive regional-level roadmap to support healthy food retail initiatives. By aligning nutrition priorities with existing economic and health governance systems, countries can better implement nutrition-sensitive retail policies.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.001 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".