Human rights’ monitoring and implementation: how to make rights ‘real’ in children’s lives
Bibliographic record
Abstract
The UN Convention on the Rights of the Child (UNCRC) is the most ratified international human rights treaty. Yet problems continue about ensuring that children’s rights are recognised and supported in their daily lives. To this end, informal and formal efforts have been made for greater incorporation of the UNCRC into national law and policies. This special journal issue learns from these latest efforts, for the benefit of all human rights advocates in policy, practice and academia. The editorial outlines the contributions from eight articles, which were written by young people, practitioners who are directly influencing policy and practice, and academics from across the UK, Canada and Ireland with both national and international expertise. Written from different disciplines (including law, public policy and education), the special journal issue aims to enhance the critical evidence and strategic approach to implementing human rights in practice.
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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 | 0.109 | 0.180 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.011 | 0.056 |
| Scholarly communication | 0.026 | 0.038 |
| Open science | 0.004 | 0.017 |
| Research integrity | 0.015 | 0.025 |
| 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".