Running Around in the Story: Un/Raveling Compositions of Narrative Play
Bibliographic record
Abstract
In this article we examine young children's outdoor narrative play as animated by the possibilities of running. Guided by posthuman perspectives, the provocations of sociomateriality, and the capacities of mycelial networks, we consider how stories and storying might occur in and as movement. We draw on interdisciplinary understandings of moving lines to map, analyze, and reimagine the compositional dynamics of two assemblages of outdoor narrative play. Following the compositional lines of these assemblages, we reencounter narrative play as embodied and moving occurrences in the indeterminate, overlaying, and un/raveling movements of a relational world. We come to see stories as other than objects of uniquely human composition, but rather as material, authoring subjects entangled in the unfolding of children's literacies and the dynamics of narrative play. We suggest attention to and engagement in such understandings as part of the living lines though which literacy education might newly tell stories about stories.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".