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Record W1978839468 · doi:10.1177/0193723501253006

Multiple Identities in a Marginalized Culture

2001· article· en· W1978839468 on OpenAlexaffabout
Brian Wilson, Philip White, Karen Fisher

Bibliographic record

VenueJournal of Sport and Social Issues · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMainstreamYouth cultureRecreationGender studiesEthnographySociologyYouth studiesPositive Youth DevelopmentPerspective (graphical)Sociocultural evolutionParticipant observationSocial psychologyPsychologyDevelopmental psychologySocial sciencePolitical scienceAnthropology

Abstract

fetched live from OpenAlex

This article is a theoretical and empirical examination of female youth culture in recreation/drop-in centers. The authors attempt to integrate theories of female participation in leisure and sport with more mainstream perspectives on female youth subcultures. A gender-sensitive, cultural studies-based perspective emerges, underscored by a (Chicago-style) symbolic interactionist approach to understanding social process. Research findings from an ethnographic study of female youth in one such center in southern Ontario, Canada, are presented, with particular attention to how the various beliefs, behaviors, and customs that characterized female youth culture in the center were created, maintained, and referred to as the basis for interaction. The study findings showed that experiences within the center, although generally positive, were varied and extremely gendered, with female youth marginalized in the informal, male-dominated sport culture. Moreover, the findings revealed that among these youth, there existed simultaneously a resistance to broader, gender-and class-based limitations on sport participation and a reproduction of informal power structures. The relevance of these findings to theoretical understandings of female youth culture and youth-centered organizations and to practical and strategic approaches to programming for “at-risk” female youth are assessed, and suggestions for future research in this sparse area are provided.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.849
Threshold uncertainty score0.308

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.034
GPT teacher head0.345
Teacher spread0.311 · 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 designObservational
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
Published2001
Admission routes2
Has abstractyes

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