Bibliographic record
Abstract
This article explores the ideological work of play as it is represented in three contemporary graphic narratives – Kean Soo's Jellaby and Jellaby: monster in the city, and Mariko & Jillian Tamaki's Skim, analyzing the relationship these texts create between urban spaces and the ‘innovative’ spaces of the panel and page. The author is interested in the various ways the graphic novel can be read as a ‘leisure genre’ (to borrow a term coined by cultural anthropologist Victor Turner) that creates a dynamic, interactive ecology, encouraging protagonists and readers to participate in a ludic, pediarchic poetics of play. The content and the formal properties of these texts posit ‘play’ dynamically in relationship to ‘flow’ as a subject of the texts' critique, but also as an activity occurring in the liminal spaces in and between panels. The novels address readers as clever, sophisticated accomplices in the meaning-making process. Play is represented as subversive of adult authoritarianism and narrative domination, thwarting the co-optation and commodification of play in the cultures of young people.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.047 | 0.047 |
| Scholarly communication | 0.016 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 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".