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Sport, Transgender Athletes, and Nonbinary Experience

2022· book-chapter· en· W4300861210 on OpenAlexaff
Travers Travers

Bibliographic record

VenueOxford University Press eBooks · 2022
Typebook-chapter
Languageen
FieldSocial Sciences
TopicDoping in Sports
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsTransgenderAthletesGender studiesPoliticsNorm (philosophy)Context (archaeology)Gender identityPolitical sciencePsychologySociologyMedicineLawGeographyPhysical therapy

Abstract

fetched live from OpenAlex

Abstract Transgender and nonbinary athletes experience significant obstacles to sport participation that are primarily related to prevalent sex-segregated and/or sex-differentiated institutions, spaces, and activities. Sport reflects and reinforces a Eurocentric, hetero-patriarchal binary sex system, and this requires the containment of women and nonbinary athletes who threaten to throw this social, economic, and political configuration into disarray, whether as individuals they are interested in doing so or not. This chapter provides an overview of literature relating to the experience of transgender and nonbinary people in sport, situates transgender participation in the broader context of modern sport as an historically specific formation, and provides an overview of scholarly debates about female eligibility policies that target transgender women and women with naturally higher testosterone levels than the so-called female norm.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.997
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.038
GPT teacher head0.246
Teacher spread0.208 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations4
Published2022
Admission routes1
Has abstractyes

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