The Problem of Hunger In The World and A New Model Proposal To Solve This Problem
Bibliographic record
Abstract
Many people do not have access to enough food to survive in the world. Approximately one in nine people in the world are hungry. The vast majority of hungry people in the world live in developing countries. Asia is the region with the most hunger, with two-thirds of the continent's total starvation. Sub-Saharan Africa is the region with the highest hunger rate (as a percentage of the population). In this region; One in four people is malnourished. As a result of malnutrition, one in five children born each year dies. In developing countries, one in six children dies from hunger. A quarter of the world's children do not show enough physical development. In developing countries, this rate rises to one third. Of the 66 million primary school-aged children each year, 23 million attend the hunger class between Africa and developing countries alone. The World Food Program (WFP) has calculated that US$3.2 billion per year is needed to reach 66 million starving school-age children.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.005 | 0.009 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".