“I'll do it my own way!”: A young child's appropriation and recontextualization of school literacy practices in out-of-school spaces
Bibliographic record
Abstract
What do young children do with the literacies they have learned at school? This article reexamines traditional notions of literacy by documenting a second grade child's literacy practices in school and out-of-school contexts. Data collected included field notes, interviews, observations of school and out-of-school literacy practices, and artefacts (such as worksheets, constructions and computer screenshots) from the school, home and community contexts. In analysis, literacy practices were traced to show how meanings travelled across contexts and switched modes. Findings show that the focal child recontextualized school literacies in out-of-school spaces and changed them in flexible, playful and technologically contemporary ways. The study offers new knowledge of how school literacy may impact on some children's out-of-school literacies and recognizes that these out-of-school spaces may serve to prepare children more appropriately for the future.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".