Sideways Listening: Doing Space Sideways to the Norm with Superhero Franchise Kamen Rider
Bibliographic record
Abstract
This article asserts that the social construction of space and the social construction of childhood are mutually informing. Different social practices within the broader domain of childhood reflect different constructions of childhood through their construction of space. These practices include watching television in the family home, attending an educational institution, or playing in a park. Sound, however, affords the possibility of non-linear development as it imbues a child’s experience of sites with affect carried over from different situations. The authors use social practice theory to reconceptualize the relationship between the social practices of childhood and their sites, space, and the role of sound in facilitating sideways growth. They focus on the Japanese children’s superhero franchise Kamen Rider and its use of sound both onscreen and in the design of its tie-in merchandise. The authors argue that combining affect (through sound) with space in this way allows us to see moments in which the child practices space disobediently and non-lineally. The portable affect created by the media design of the Kamen Rider tie-products, the authors argue, offers an excellent case study of how sound can create non-linear, crosswise movement between the sites at which childhood is practised. We further argue that the retention and pretension of affect associated with Kamen Rider sounds facilitate an experience of space sideways to its dominant construction.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.010 | 0.006 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".