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Record W4230864085 · doi:10.31234/osf.io/8xvzr

“My Group Is Discriminated against, but I’m Not”: Denial of Personal Discrimination in Furry, Brony, Anime, and General Interest Fan Groups

2018· preprint· en· W4230864085 on OpenAlexaff
Connor Emont Leshner, Stephen Reysen, Courtney N. Plante, Daniel Chadborn, Sharon E. Roberts, Kathleen C. Gerbasi

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicAsian Culture and Media Studies
Canadian institutionsMacEwan University
Fundersnot available
KeywordsAnimeDenialFandomPsychologySocial psychologyGroup (periodic table)SociologyMedia studiesPsychoanalysis

Abstract

fetched live from OpenAlex

The authors examined perceived discrimination directed toward one’s fan group and toward oneself in multiple groups of fans. Specifically, furries, bronies, anime fans, and a group of miscellaneous fans completed measures assessing the extent to which they perceived discrimination toward both their fan group and toward themselves. Across all samples, participants reported greater discrimination directed toward their fan group than toward themselves, suggesting denial of personal discrimination. The difference between personal discrimination and fandom discrimination is a reliable one, as suggested by its persistence despite considerable differences between the groups with regard to the level of societal stigma. The implications of these results and future directions for this line of research are discussed

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.353
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.050
GPT teacher head0.321
Teacher spread0.271 · 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.

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
Published2018
Admission routes1
Has abstractyes

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