"Work in Progress: Twenty-five Years of the Convention on the Rights of the Child.” The General Measures of Implementation Across the Globe
Bibliographic record
Abstract
Since its adoption twenty-five years ago, the Convention on the Rights of the Child (CRC) has guided many actors and institutions around the world in relation to children. Yet, what influence has it had upon legislation, policies and programs, and what progress has occurred for children? An important measure of its impact is the status of the General Measures of the Implementation of the CRC, which the UN Committee on the Rights of the Child has identified as a foundational requirement of the framework of action. Focusing on law reform, budgeting, monitoring, and independent human rights institutions, this paper describes the state ofthese general measures with examples in different countries around the world to confirm the CRC's significance in governance and public policy. It is submitted that the CRC has been influential in public policy and that there is much more room for progress guided by the CRC. The paper concludes with recommendations for CRC states parties.
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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 | 0.045 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.011 | 0.038 |
| Scholarly communication | 0.017 | 0.014 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.008 | 0.016 |
| 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".