“The Wind Goes Inside of Me”: Kindergarten Children’s Theories About Running Fast
Bibliographic record
Abstract
Children in a kindergarten class had difficulties with physical movement—bending awkwardly to tie shoes, going downstairs using two feet to a step, standing disengaged during exercise time. Debbie wondered whether she could design an emergent curriculum responsive to the movement potential of these children, promoting more fluent body awareness. She wanted to try supporting the project with Reggio-inspired pedagogy using documentation, changes to the environment, and adding many graphic materials. The entry point was an argument after recess about who could run fast. The children’s interest in how they run fast led to conversations about running, investigations of running outside, and theories of what permits fast running. Documentation and the illustration of theories through drawing and 3-dimensional figures led to deeper considerations by the children about how bodies work, and strongreflection by Debbie on the necessity of continual movement possibilities for young children in schools.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.007 | 0.029 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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".