The Materiality of Children’s Imaginative Sense-making in Climate Change Education
Bibliographic record
Abstract
Abstract In this article, we discuss our investigation of children’s imaginative sense-making and its materiality in climate change education. Drawing on a new materialist approach, our research contributes to knowledge about the material significance in children’s sense-making related to climate change. During a project called Riddle of the Spirit in a Finnish primary school, we invited children to explore the concepts of global warming and carbon dioxide through narrative, playful and multimodal activities. Inspired by postqualitative methods, our relational analysis, based on video materials, maps and examines two episodes of children’s small group inquiry. Our findings unfold the material–discursive intra-actions, through which a prop turned into a whale’s head, the Titanic film appeared, and water and carbon dioxide became important to children’s bodies. With these specific events, the study illustrates how various materials conjoined and came to matter in the children’s sense-making of the concepts.
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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 | 0.004 | 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 | 0.003 | 0.010 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".