Saudi Viewers’ Perceptions of Attack on Titan Japanese Animation Online Series
Bibliographic record
Abstract
This quantitative study examines Saudi viewers’ perceptions of the Japanese anime Attack on Titan. Data collection was undertaken by means of an online survey of 346 viewers of the animation, aged between fourteen and thirty-eight. The results indicated that the most popular characters were Levi, Eren, and Mikasa, with the least liked being the Armorer Titan, the Female Titan, Sasha, and Christa. The research found that the participants were attracted to scenes including fights between human and Titans, flying blood, and dialogue. The viewers expressed an interest in the unique scenario of the series, as well as each character’s tone of voice and facial expression. Finally, the hypothesis testing (Ho) of viewers’ tendency to like characters based on gender was accepted as confirmed by the 2-tail test (.042), i.e. the participants tended to prefer male characters. This study recommends that future research applies content analysis to provide further insights into the reasons behind the identified preference for male characters.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".