Rights of the child as imperatives for transforming food systems
Bibliographic record
Abstract
Ensuring access to nutritious food, maintaining a healthy planet, and eradicating child labor remain as critical priorities for protecting children’s rights. In this article, we explore issues and problems within the global food systems that impact children’s rights. We explore this through the lens of the UN Convention on the Rights of the Child. We examine the intricacies of the food systems and their effect on children’s rights through five case studies from various regions around the world, looking at the lives of children in Australia, Spain, Mexico, Costa Rica, Mali, and elsewhere. The analysis encompasses topics such as school food programs, unhealthy junk food, climate impacts of farming, health impacts of pesticides, and child labor, all within the global food system. Our aim is to clearly demonstrate that adopting a child rights-based approach to food system governance can promote fairness and justice to children. Our argument is that it is cardinal for states to develop strategies and measures to curtail activities that hinder the realization of children’s rights and promote activities that enhance their realization. States bear a responsibility to restructure the institutional framework and to reinterpret the obligations of businesses to facilitate this objective.
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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 | 0.015 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.058 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".