Framing attention in American and Japanese comics
Bibliographic record
Abstract
Research has shown that Americans focus more on focal objects of a scene while East Asians attend to the surrounding environment (Nisbett, 2003;Nisbett & Miyamoto, 2005).The panels of comic books-the sequential frames of imageshighlight aspects of a scene comparably to how attention focuses on parts of a spatial array.Thus, comparison of American and Japanese comics can inform cross-cultural cognition by looking at the expressive mediums produced by these cultures.We compared the framing of figures and scenes in the panels of two genres of American comics (Independent and Mainstream) with mainstream Japanese "manga."Both genres of American comics focused on whole scenes as much as individual characters, while Japanese manga individuated characters and parts of scenes.We argue that this framing of space in comics simulates a viewer's integration of a visual scene, and is consistent with crosscultural differences in the direction of attention.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".