The Challenge of Children's Rights for Canada, 2nd edition
Bibliographic record
Abstract
More than a quarter of a century has passed since Canada promised to recognize and respect the rights of children under the United Nations Convention on the Rights of the Child. Ratification of the Convention cannot, however, guarantee that everyone will abandon proprietary notions about children, or that all children will be free to enjoy the substance of their rights in every social and institutional context in which they find themselves, including—and perhaps especially—within families. This disconnect remains one of the most important challenges to the recognition of children’s rights in Canada. The authors argue that social toxins are as harmful to children’s independent welfare and developmental interests as environmental toxins, and that both must be eradicated if Canada is to fulfill its commitments under the Convention. They also argue that if Canada wishes to ensure the substance of the rights outlined in the Convention are socially guaranteed, an attitudinal or cultural shift is required concerning the moral and legal status of children. This revised, expanded, and updated edition of the bestselling Challenge of Children’s Rights for Canada will be of interest to academics, policymakers, parents, teachers, social workers, and human service professionals—indeed to anyone who cares about and for children.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.019 | 0.006 |
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".