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Record W4390058689 · doi:10.1080/19406940.2023.2290115

Transgender athletes and Canadian sport policy: a story of stigma and precarity

2023· article· en· W4390058689 on OpenAlexaffabout
William Bridel, Victoria Clowater, Dennis Quesnel, Connor MacDonald, Jordan Zacher

Bibliographic record

VenueInternational Journal of Sport Policy and Politics · 2023
Typearticle
Languageen
FieldPsychology
TopicLGBTQ Health, Identity, and Policy
Canadian institutionsUniversity of AlbertaUniversity of GuelphUniversity of Calgary
Fundersnot available
KeywordsPrecarityTransgenderStigma (botany)AthletesGender studiesPsychologyPolitical scienceSocial stigmaSociologyCriminologySocial psychologyMedicinePsychiatryPhysical therapyHuman immunodeficiency virus (HIV)

Abstract

fetched live from OpenAlex

Policy can serve as a form of institutionalised stigma, working to create and maintain discrimination against groups of people. Some Canadian National Sport Organizations (NSOs) have developed policies that address transgender inclusion within sport. However, where these policies exist, they vary in their approaches to inclusion of transgender persons. This article examines how Canadian sport policies prohibit and/or police transgender persons’ participation in sport. In 2019, the publicly available policies of 53 NSOs were reviewed to determine the presence and content of so-called transgender inclusion policies, as well as policies related to equity, discrimination and harassment. At the time of the study, only 17 of the 53 NSOs had policies specifically related to transgender inclusion. In this study, we review these policies to understand the varying approaches to transgender inclusion in Canadian NSOs. We classified the NSOs into three broad categories: inclusive (n = 11), problematic (n = 1) and prejudicial (n = 5), in relation to naming, disclosure and medical specifications. Using Judith Butler’s concept of precarity, we demonstrate that participation in sport is a precarious choice for transgender athletes, as most NSO policies lacked clear guidance on inclusion and there were next to no policy statements on gender non-conforming people. The development of inclusive policy within sport should be proactive, actionable, consistent with best practices and must include meaningful conversations with transgender and gender non-conforming athletes, coaches and officials.

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 score0.580
Threshold uncertainty score0.723

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.040
GPT teacher head0.375
Teacher spread0.336 · 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

Citations5
Published2023
Admission routes2
Has abstractyes

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