Links between food price behaviour and nutrition in the developing world
Bibliographic record
Abstract
With the recent financial crisis and its enduring fallout, questions surrounding the state of global food security have become more pressing. A key element influencing the nutritional status of the world’s poor is price behavior within global food commodity markets. In recent decades, food commodity markets have experienced both significant price increases, and an increase in volatility. These price trends have had significant impacts on the diversity of diets in impoverished households worldwide, which in turn has impacted nutrition and health. This paper will discuss the causes behind recent trends in food commodity prices, and the extent of their impact on food security and nutrition. Specifically, it will address the impact of food price increases and the uncertainty induced by food price volatility on household food consumption and nutrition. Micronutrient intake is the focus of the nutritional discussion of this work, and variations of consumption behavior in various regions and within different household dynamics are all taken into account. Existing policy actions are discussed in terms of the frequency of their implementation, the factors encouraging or deterring their implementation, and their intended and unintended consequences. Finally, the paper concludes with suggestions for future actions and areas for future research.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".