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Record W4406383261 · doi:10.1080/14680777.2024.2447818

Epistemologies of ignorance in constructions of fairness and biology: the online swimming community responds to Lia Thomas’ inclusion in women’s swimming events

2025· article· en· W4406383261 on OpenAlexaff
Valérie Grand’Maison, Victoria Clowater, Lee Hill

Bibliographic record

VenueFeminist Media Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsMcMaster UniversityMcGill University Health CentreUniversity of Guelph
Fundersnot available
KeywordsIgnoranceInclusion (mineral)SociologyPsychologyGender studiesEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

Organized sport has largely been, and remains, segregated by sex. A long history of cultural norms and gender socialization discouraged women from participating and competing in sport. The conflation of sex and gender is produced by and further reinforces notions of biological essentialism that denies the full inclusion of trans people. Anchoring our analysis in epistemologies of ignorance, this paper critically examines the online discourses surrounding Lia Thomas’ participation in NCAA women’s swimming events to understand how the swimming community constructs notions of sex, gender, and fairness. We reviewed 1696 online comments on articles about Thomas’ participation in women’s events on a globally renowned swimming website, SwimSwam. We argue that biological essentialism functions as an epistemology of ignorance, where the dominant group actively reject or misrecognize scientific, historical, and sociological knowledges to justify the exclusion of trans women swimmers. In turn, biological essentialism erases equity issues within sport and, thus, effectively works to reproduce the privilege position of particular groups—in this case cisgender women and men—by protecting their opportunities to swimming success.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.140
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.079
GPT teacher head0.399
Teacher spread0.320 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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