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Record W2126487760 · doi:10.1123/ssj.25.3.369

Triumph of Backlash: Wrestling Community and the “Problem” of Title IX

2008· article· en· W2126487760 on OpenAlexaff
Theresa Walton, Michelle T. Helstein

Bibliographic record

VenueSociology of Sport Journal · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsUniversity of Lethbridge
FundersNational Collegiate Athletic Association
KeywordsCognitive reframingArticulation (sociology)BacklashIdentification (biology)HegemonySociologyIntervention (counseling)Psychological interventionGender studiesPolitical scienceLawPsychologySocial psychologyComputer sciencePoliticsArtificial intelligence

Abstract

fetched live from OpenAlex

Attempts to unify and mobilize the U.S. collegiate wrestling community to “save” it from decline frames Title IX as the main “problem” to overcome. The logic of a community of identification at work in this strategy limits the interventions that can be made for wrestling while enabling corporate men’s sport to remain the hegemonic form of U.S. collegiate athletics. We explicate and critique the varied articulations of wrestling as a community of identification following Helstein’s (2005) call to deconstruct assumptions of unified sporting communities and to consider communities of articulation. We illustrate how communities of identification necessarily fail and how moving toward communities of articulation offers an intervention that enables a reframing of the relationship between Title IX and collegiate wrestling that could motivate meaningful change.

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)0.007
metaresearch head score (Gemma)0.012
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0190.034
Scholarly communication0.0100.008
Open science0.0020.014
Research integrity0.0030.004
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 head0.062
GPT teacher head0.318
Teacher spread0.256 · 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

Citations11
Published2008
Admission routes1
Has abstractyes

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