Valuing children’s voices across diverse global contexts: A gallery exhibit of children’s multimodal art
Bibliographic record
Abstract
This article describes an international classroom partnership with twenty-eight 5-to 7-year-old Canadian and Tanzanian children, and outlines the meaningful ways they were involved in the research process. In this project, the children shared their valued school-based experiences and environments through multiple self-chosen modes. The children’s arts-based multimodal texts, descriptions of their valued school experiences and environments, and their personal biographies were then shared at a 2-week exhibit at a national art gallery in Canada. The findings across both data sets revealed the children’s interest in spending time outdoors in their local contexts, engaging in collaborative and imaginative play. This project also addresses the importance of providing a space for children to share their perspectives, which aligns with Article 12 of the UN Convention on the Rights of Child. Article 12 addresses the importance of children having a right to have a voice and to have their opinions heard in matters that affect them. Article 13 is also highlighted in this project and outlines children’s right to freedom of expression. This right includes the freedom ‘to seek, receive, and impart information and ideas of all kinds, regardless of frontiers, either orally, in writing or in print, in the form of art, or through any other media of the child’s choice’. In this project, the Canadian and Tanzanian children’s multimodal texts of their valued school-based experiences revealed more similarities than differences in relation to what learning experiences mattered to them at school. During this project, the children in both contexts became interested and invested in their international peers’ lives and school-based experiences, and felt a sense of connectedness and kinship across the globe.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.016 | 0.008 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".