Bibliographic record
Abstract
This case study examines the multimodal literacy practices of 11-year-old Nigel as he plays with assemblages of people, objects, and practices in his storywriting. The study asks “How does following the seemingly off-task multimodal literacy practices of one pre-adolescent youth across his home-community-school terrain provide insight into contemporary literacy learning and instruction?” Using assemblage theory, the article maps a period in time, the early months of his fifth-grade experience, when one boy approached the literacies privileged in his classroom with what appeared to be a certain amount of disregard, while engaging in personal literacy practices that were both rich and, at times, subversive. The analysis maps the people, signs, material objects, events, and places in the unfolding of Nigel’s play with two symbolic figures, the line rider and the stick man. Viewed across time and place, Nigel’s textual and embodied play with these figures demonstrate ways a young adolescent, fully immersed in and engaged with his digital and material world, “overwrites” official texts and produces rich stories that go unnoticed by the adults around him. This unfolding took place in unpredictable ways, and as it occurred, literacy practices that brought intellectual and visceral engagement, pleasure and pride, and agentive recourse to Nigel in his practice of literacy came into focus. The emergence of Nigel’s inscriptions across multiple terrains provides insight into ways in which a socio-material perspective, with its focus on the role of affect and the body, may assist us in re-thinking multimodal writing development.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.012 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".