Understanding Canada’s Lack of Progress in Implementing the un Convention on the Rights of the Child
Bibliographic record
Abstract
This article reviews theunCommittee on the Rights of the Child’s 2012 concluding observations regarding Canada’s progress in implementing theunConvention on the Rights of the Child. It examines theunCommittee’s criticisms about the pace of Canada’s progress, and examines in particular the Committee’s claim that the main problems in implementing the Convention are intergovernmental. It concurs with the Committee’s diagnosis of the problem as one of coordination, which manifests particularly in areas of law and policy where provincial governments maintain jurisdictional authority but the federal government maintains the greater fiscal levers. The article analyses the possibilities of resolving these children’s rights and public policy challenges, drawing on two illustrative cases: efforts to expand early childhood education programmes in Canada and efforts to improve Aboriginal education, particularly on reserves.
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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 | 0.014 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.030 | 0.018 |
| Scholarly communication | 0.013 | 0.004 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.005 | 0.010 |
| 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".