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Record W4401903960 · doi:10.3138/jeunesse-2023-0008

Child and Youth Participatory Fan Play: Challenging Adult Assumptions through Fanfiction, Fanvids, and Cosplay

2024· article· en· W4401903960 on OpenAlexaffvenue
Jessica Bay, Abigail Shabtay, Katelyn Conferido

Bibliographic record

VenueJeunesse Young People Texts Cultures · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicChild Development and Digital Technology
Canadian institutionsUniversity of TorontoYork University
Fundersnot available
KeywordsCitizen journalismSociologyComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

This piece explores commonly held adult beliefs about young people’s play and challenges some of these ideas through published research and examples from child and youth participatory fan cultures. We begin this piece by examining some of these misconceptions and myths, primarily the ideas that children’s play is in decline, that children’s play is trivial and non-productive, that popular culture reduces children’s desire to play, and that children are no longer creating their own cultural artifacts (Small 259). Challenging these assumptions, we discuss the ways that children and youth engage in three participatory fan activities—writing fanfiction, creating fan videos, and participating in cosplay—drawing on examples from a range of popular youth fandoms including Harry Potter, Girl Meets World, Percy Jackson, The Avengers, Monster High, and The Hunger Games.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.574
Threshold uncertainty score0.860

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 studies0.0010.000
Scholarly communication0.0000.001
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 head0.024
GPT teacher head0.301
Teacher spread0.278 · 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
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

Citations1
Published2024
Admission routes2
Has abstractyes

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