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Record W1963580267 · doi:10.1080/14927713.2013.801152

Deeper leisure involvement as a coping resource in a stigmatized leisure context

2013· article· en· W1963580267 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueLeisure/Loisir · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicGender Roles and Identity Studies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsFeelingCoping (psychology)Social psychologyFandomPsychologyContext (archaeology)Social identity theorySociologySocial groupPsychotherapistMedia studies

Abstract

fetched live from OpenAlex

Although leisure involvement can be a resource for coping with stigmatization, some forms of leisure are themselves stigmatized. One such stigmatized leisure context is the furry fandom, a diverse group of people that create anthropomorphic animal identities. Drawing on the minority stress model and symbolic self-completion theory, we examined survey responses of 3473 members of online furry communities. Greater involvement in the furry community was associated with higher levels of well-being. This association was statistically explained by greater disclosure of furry identity and an indirect path through feelings of self-acceptance and affiliation with the furry fandom linked to greater disclosure of furry identity. Results suggest how deeper leisure involvement helps to counteract minority stress and cope with a stigmatized leisure 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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.641
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.033
GPT teacher head0.288
Teacher spread0.255 · 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