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Record W2058272664 · doi:10.1177/1357034x06067157

Transsexual Bodies at the Olympics: The International Olympic Committee's Policy on Transsexual Athletes at the 2004 Athens Summer Games

2006· article· en· W2058272664 on OpenAlexaff
Sheila L. Cavanagh, Heather Sykes

Bibliographic record

VenueBody & Society · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsUniversity of TorontoYork University
Fundersnot available
KeywordsTranssexualAthletesQueerHarassmentPoliticsGender studiesPsychologyCriminologySociologyPolitical scienceTransgenderMedicineLawSocial psychologyPhysical therapy

Abstract

fetched live from OpenAlex

The International Olympic Committee (IOC) has always been plagued by what queer theorist Judith Butler calls gender trouble. In 2000, the IOC discontinued their practice of sex-testing because medical experts could not agree on what defined a genetic female and so an adequate medical testing measure could not be found. In response to outside pressure, the IOC adopted a policy enabling transsexual athletes to compete in the 2004 Olympic Games. This article argues that the IOC policy on sex reassignment does not operate to guard against discrimination and harassment against transsexual athletes but that it operates to maintain the popular illusion that there are two, binary gender designations. While both transsexual and Olympic bodies have unique histories and vastly different experiences in the social and political realms, using psychoanalysis we contend that the need to test gendered bodies is incited by an anxiety about bodily deterioration, aging, and, ultimately, mortality.

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)0.009
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.133
Threshold uncertainty score0.264

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0110.015
Scholarly communication0.0070.003
Open science0.0020.006
Research integrity0.0160.012
Insufficient payload (model declined to judge)0.0030.001

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 head0.028
GPT teacher head0.301
Teacher spread0.273 · 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 designNot applicable
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

Citations152
Published2006
Admission routes1
Has abstractyes

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