Motivations of Cosplayers to Participate in the Anime Fandom
Bibliographic record
Abstract
We examined differences between cosplaying and non-cosplaying anime fans with regard to their motivation to participate in the anime fandom. Participants, all anime fans, completed scales assessing a myriad of possible motivations for anime fandom participation. Cosplayers rated all of the assessed motivations higher than non-cosplayers. The highest-rated motivations for cosplayers included entertainment, escape from everyday life, belongingness, eustress, and aesthetic beauty. Modest sex differences were also found, as women were more likely than men to cosplay and, even among cosplayers, women reported higher belongingness, family, self-esteem, and escape motivations. With the exception of sexual attraction, however, where men were considerably more motivated by sexual attraction than women, the effect sizes for sex differences were fairly small, suggesting little true difference between male and female cosplayers. The results are discussed in relation to past research examining anime cosplayers.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".