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Record W3210703803 · doi:10.32920/ryerson.14662530.v1

Cosplay Culture: The Development of Interactive and Living Art through Play

2021· preprint· en· W3210703803 on OpenAlexaff
Ashley Lotecki

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsEthnographyFandomNegotiationIdentity (music)Participant observationSociologyVisual artsPeriod (music)AnthropologyAestheticsMedia studiesArtSocial science

Abstract

fetched live from OpenAlex

“Cosplay” (from kosupure, which combines the Japanese words for “costume” –コス– and “play” – プレ), is a term used to describe costume fandom, where individuals are costumed as fictional characters. The aim of this research was to develop a deeper understanding of North American cosplayers. Mixed methodology was used to collect and analyze demographic, behavioural, and creative data. In stage one, information was collected from 529 cosplayers in an online survey. In stage two, on-site ethnography was used to observe and gather data. In stage three, seven cosplayers participated in self-directed recording of their creation processes. This study has developed original demographic data on North American cosplayers. It has also explored the creative, emotional, social, and behavioural processes in which cosplayers participate while interpreting and constructing their characters, including the negotiation between fiction and reality, and the place of temporary identity.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.845
Threshold uncertainty score0.271

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.028
GPT teacher head0.320
Teacher spread0.292 · 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 designQualitative
Domainnot available
GenreOther

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

Citations8
Published2021
Admission routes1
Has abstractyes

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