“Ask Them” Again: An Inquiry-based Approach to Incorporating Children’s Participation Rights in a Rural, Agriculture-focused Canadian Elementary School
Bibliographic record
Abstract
We strove to incorporate United Nations Convention on the Rights of the Child (UNCRC) Article 12 into a broader project focused on an elementary school’s curriculum development by inviting the students to express their views on their education. In two studies conducted approximately a month apart, children aged 5 to 10 years were asked to draw pictures about school and then describe and explain their drawings to a member of the research team. Findings revealed differences in children’s thoughts on what they want at school (Study 1, N=37) versus what they think their education should involve (Study 2, N=36). In particular, children tended to focus on STEM, physical activity, and nature when describing what their education should involve. Together, our studies in combination with previous findings suggest that children have common beliefs about their education.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".