A rights and equity-based Platform and Action Cycle to advance child health and well-being by fulfilling the rights of children
Bibliographic record
Abstract
The Think and Action Tank (TAT) on Children’s Rights to Health was established in 2013 as an international network of child health advocates. The TAT’s mission is, “To develop, implement, evaluate, and disseminate rights and equity-based strategies, models, and tools to advance children’s health and well-being by fulfilling their rights.” Toward this end, the TAT has developed a conceptual and operational framework to support a human and child rights-based approach to health; and a Platform and Action Cycle (PAC) as a strategy and tool to translate the principles of human and child rights-based approaches to health into practice. The PAC consists of three action steps—contextualizing, assessing, and improving. Through a structured process of generating rights and equity-based statements, indicators, and reports, the PAC establishes a mechanism to engage multi-disciplinary professionals and children themselves in efforts to realize the vision of the UN Convention on the Rights of the Child.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.077 | 0.044 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.008 | 0.020 |
| Scholarly communication | 0.013 | 0.016 |
| Open science | 0.004 | 0.023 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.008 | 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".