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Record W4280547169 · doi:10.1080/00224499.2022.2068180

“Chasing Tail”: Testing the Relative Strength of Sexual Interest and Social Interaction as Predictors of Furry Identity

2022· article· en· W4280547169 on OpenAlexaff
Thomas R. Brooks, Tara N. Bennett, Ashley Myhre, Courtney N. Plante, Stephen Reysen, Sharon E. Roberts, Kathleen C. Gerbasi

Bibliographic record

VenueThe Journal of Sex Research · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsUniversity of WaterlooBishop's University
Fundersnot available
KeywordsFandomSocial psychologyPsychologyIdentity (music)Test (biology)Sexual identityIdentification (biology)Social identity theorySexual behaviorSexual orientationGender studiesSociologyHuman sexualitySocial groupMedia studies

Abstract

fetched live from OpenAlex

Furries can be described as a mediacentric fandom, similar to other fandoms, which organizes around an interest in anthropomorphic art. Past research has also aimed to highlight and understand the sexual motivations of furries, leading to questions regarding the relative strength of fandom and sexual motivations for joining and maintaining membership within the group. The goal of the present study was to test the relative contributions sex- and fandom-related motivations (e.g., social belonging) have in determining furry identity to provide better conceptualizations of this unique community for future research and education. In a sample of furries (n = 1,113), participants reported sexual attraction to facets of their interest and were found to be sexually motivated to engage in specific fan behaviors. However, a series of follow-up analyses revealed that non-sexual motivations were not only stronger in magnitude than sexual motivation was, but were also much more strongly correlated with furry identification.

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)0.012
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.040
Threshold uncertainty score0.848

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.002
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 integrity0.0000.001
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 head0.259
GPT teacher head0.454
Teacher spread0.195 · 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

Citations14
Published2022
Admission routes1
Has abstractyes

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