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Record W2943536125 · doi:10.15353/cjds.v8i2.491

Those Crazy Fangirls on the Internet: Activism of Care, Disability and Fan Fiction

2019· article· en· W2943536125 on OpenAlexvenueno aff
Dean Barnes Leetal

Bibliographic record

VenueCanadian Journal of Disability Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsSocial activismPleasureAnxietyThe InternetSociologyPsychologyPolitical scienceLawComputer scienceWorld Wide WebPsychotherapistPsychiatry

Abstract

fetched live from OpenAlex

This article explores Activism of Care, a form of activism offering strategies, implementation of skills and accessibility different from those offered by traditional activism. Activism of Care suggests that activist strategies are not universal, but instead should be tailored for specific communities’ structures, skills and intersectional positionings. This paper focuses on the implementation of Activism of Care by and for neurodivergent participants in fan fiction communities on Tumblr. It demonstrates ways Activism of Care is implemented to promote destigmatization of mental illnesses, and to celebrate participants with depression, anxiety or PTSD. This article describes how Activism of Care implements elements of Care Ethics in fan fiction communities to promote social change. Emotional, literary and social structures of these communities are used to promote the rights, well-being and pleasure of neurodivergent participants. Finally, this paper provides characteristics by which to recognize or create this type of activism, alongside or as an alternative for traditional activism.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0100.013
Scholarly communication0.0050.003
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.048
GPT teacher head0.344
Teacher spread0.296 · 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 source (direct Gemma or distilled Codex), 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

Citations3
Published2019
Admission routes1
Has abstractyes

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Same venueCanadian Journal of Disability StudiesSame topicYouth Education and Societal DynamicsFrench-language works237,207