Bibliographic record
Abstract
This special issue of the Canadian Journal of Children's Rights, the second issue in the journal's 10 th anniversary year, is dedicated to the memory of the Hon.Landon Pearson.She was known as the "Children's Senator" who lived a lifetime of advocacy for, with, and on behalf of, children and young people.In her role as Senator, she said in a speech to the Senate of Canada on September 18, 2001: This week, I was supposed to be in New York at the UN Special Session on Children.That meeting has been postponed, but not for long and its outcome document, "A World Fit for Children," should provide us with some excellent guidelines for the future that will reset the moral compass for children.Since last week acting on behalf of children has become more important than ever for only when the world is fit for children will terror be finally vanquished."This 2023 issue reflects on the theme "A World Fit for Children," the plan and resolution adopted at the Special Session on Children that took place in New York in May 2002. Landon Pearson represented Canada at the meeting along with Prime Ministers and Heads ofState from around the world.Importantly, while adult delegates were drafting the World Fit for Children document at the Special Session, children and young people from the 132 countries that had emulated the lead taken by Sweden and Canada, thanks to Landon Pearson's efforts to include children on the Canadian delegation, met to draft their own document.The young people called their document, "A World Fit for Us" because, as Landon Pearson, would recall the two girls who were chosen to speak from the podium at the Special Session said, "a world fit for us is a world fit for everyone."The contributors to this issue of the Canadian Journal of Children's Rights offer their contemplations, analysis and recommendations on issues that align with the theme of "A World Fit for Children" coming at a time when the civil and political rights of children and young people are as precarious as ever.The issue begins with Jieun Park, Kaitlyn Wilcox, Nicole Ineese-Nash's article, "A World Fit for the Next Seven Generations: Upholding Indigenous Rights for the Foundation of a Sustainable Future."Using the 'Next Seven Generations' as a conceptual framework, this article highlights Indigenous perspectives on approaches to environmental protection that are
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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 | 0.002 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.094 | 0.055 |
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".