Promoting children’s rights to health and well-being in the United States
Bibliographic record
Abstract
The United States has a highly sophisticated pediatric healthcare system and spends more than any other country per capita on children's healthcare. However, not all children have access to needed and affordable health care and the life expectancy and health outcomes of children in the country are worse than in any other industrialized nation. These nations typically offer universal healthcare for children as part of a robust recognition of a children's rights framework. In 1989 the United Nations adopted the Convention on the Rights of the Child that recognizes the right of the child to the highest attainable standard of health and to facilities for the treatment of illness and rehabilitation of health. Currently the United States is the only United Nations member country that has not ratified the Convention on the Rights of the Child. This paper outlines the potential benefits of adopting a child rights approach based on the principles and provisions of the Convention on the Rights of the Child. The fact that countries who invest much less in healthcare compared to the United States can achieve better health outcomes provides the certainty that a solution is possible and within reach.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".