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Record W4403100548 · doi:10.1186/s40359-024-02019-7

The associations between self-rated autistic traits, social camouflaging, and mental health outcomes in Taiwanese anime, comics and games (ACG) doujin creators: an exploratory study

2024· article· en· W4403100548 on OpenAlexaff
Yen-Chun Kuo, Hsing‐Chang Ni, Chun-Hao Liu

Bibliographic record

VenueBMC Psychology · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAnimeComicsPsychologyMental healthExploratory researchAutismPsychological researchDevelopmental psychologySocial psychologyPsychotherapistSociologySocial scienceArtLiteratureComputer science

Abstract

fetched live from OpenAlex

BACKGROUND: Doujin (どうじん) is a Japanese term referring to a circle where people share the same interests, usually something that belongs to the Anime, Comics, and Games (ACG) subculture. Individuals who belong to it and create related works, known as ACG doujin creators, are usually described as socially awkward and at potential risk of isolation. In such a context, they may theoretically exhibit higher autistic traits and manifest camouflaging tendencies, which may consequently be associated with their mental health. Nonetheless, the impact of autistic traits and camouflaging on mental health in this subculture remains significantly underexplored. METHODS: We recruited 183 Taiwanese ACG doujin creators (age ranges from 18 to 41, 146 female and 37 male) via social networking platforms. Participants completed Chinese online surveys assessing socio-demographic information, doujin activities, past psychiatric history, the 35-item Version of Autism-Spectrum Quotient (AQ-35), Chinese version Camouflaging Autistic Traits Questionnaire (CAT-Q-Ch), the General Anxiety Disorder-7 (GAD-7), and the Patient Health Questionnaire-9 (PHQ-9). Linear regression analysis was employed to examine the associations between the aforementioned scales. RESULTS: Our findings revealed that among ACG doujin creators, descriptively higher level of AQ-35 and CAT-Q-Ch than previous studies were found. Moreover, we observed a positive association between camouflaging behaviours and most AQ-35 subscales, with the exception of the mindreading subscale. Additionally, we identified that both camouflaging and autistic traits were significantly linked to higher PHQ-9 and GAD-7 scores. CONCLUSIONS: Through this study, we gained insight into the distinctive characteristics of autistic traits, camouflaging behaviours, and mental health among Taiwanese ACG doujin creators, as the associations between the factors mentioned above are divergent compared to previous research. This topic demonstrated that camouflaging is also associated with adverse mental health in a subculture group.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.043
GPT teacher head0.411
Teacher spread0.368 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2024
Admission routes1
Has abstractyes

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