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Record W2995495207 · doi:10.1123/apaq.2019-0062

(Un)imaginable (Para-)athletes: A Discourse Analysis of Athletics Websites in Canada

2019· article· en· W2995495207 on OpenAlexaffabout
Danielle Peers, Timothy Konoval, Rebecca Marsh Naturkach

Bibliographic record

VenueAdapted Physical Activity Quarterly · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicInclusion and Disability in Education and Sport
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAthletesConstruct (python library)PsychologyGender studiesPolitical scienceSociologyMedicinePhysical therapyComputer science

Abstract

fetched live from OpenAlex

This Foucauldian discourse analysis engages DePauw's theory of disability and visibility to examine the construction of para-athletes within the websites of Canada's "fully integrated" athletics sport system. The authors found that para-athletes remain largely unimaginable within most athletics websites. When present, para-athletes are often only imagined as marginal participants, or marginalized through medical and charitable discourses. The authors offer examples of para-athletes being reimagined primarily as athletes, and some examples where (para-)athletics was reimagined by identifying and removing barriers to full participation. The authors close with some learning points that may enable sport practitioners to change how they discursively construct para-athletes and thus contribute to a less marginalizing and exclusionary sport system.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.306
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.306
Teacher spread0.293 · 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

Citations8
Published2019
Admission routes2
Has abstractyes

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