Food self-sufficiency: Making sense of it, and when it makes sense
Bibliographic record
Abstract
Food self-sufficiency gained increased attention in a number of countries in the wake of the 2007–08 international food crisis, as countries sought to buffer themselves from volatility on world food markets. Food self-sufficiency is often presented in policy circles as the direct opposite of international trade in food, and is widely critiqued by economists as a misguided approach to food security that places political priorities ahead of economic efficiency. This paper takes a closer look at the concept of food self-sufficiency and makes the case that policy choice on this issue is far from a straightforward binary choice between the extremes of relying solely on homegrown food and a fully open trade policy for foodstuffs. It shows that in practice, food self-sufficiency is defined and measured in a number of different ways, and argues that a broader understanding of the concept opens up space for considering food self-sufficiency policy in relative terms, rather than as an either/or policy choice. Conceptualizing food self-sufficiency along a continuum may help to move the debate in a more productive direction, allowing for greater consideration of instances when the pursuit of policies to increase domestic food production may make sense both politically and economically.
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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 | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.017 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".