Expressions of Children and Families on Children’s Rights: Lessons from STM: EC 2019
Bibliographic record
Abstract
Abstract The Shaking the Movers: Early Childhood (STM: EC) event was held at Ryerson University and was the first to invite young children to participate in learning about and discussing their inherent rights. In this article, five graduate students draw on young children’s and family members’ expressions, with regard to children’s right to non-discrimination (United Nations General Assembly, 1989, Article 2), as well as lessons learned, and their suggestions for future STM events. Children and families experiences as presented in the STM: EC report (Robichaud et al., 2019) were examined and the following themes emerged: children’s ideas and thoughts about their rights, spaces for children to learn about their rights, and adults’ views and ideas about children’s rights. The authors provide evidence on how events such as STM are beneficial in understanding children’s expressions and ideas regarding their rights, and the importance of creating spaces that foster children’s rights. Keywords: Shaking the Movers, children’s rights, right to non-discrimination, children’s expression, early childhood education
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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 | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.013 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.006 |
| 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".