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Record W6999436765

Classification Experiences of Para Sport Athletes

2021· article· en· W6999436765 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship@Western (Western University) · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsnot available
Fundersnot available
KeywordsEmbodied cognitionAthletesIdentity (music)PerceptionGazePower (physics)
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this study was to examine the Para sport classification experiences of Canadian high-performance athletes, and how their experiences shaped their embodied perceptions of themselves during classification. Data was collected using semi-structured interviews with five participants. Using interpretive content analysis, the data was analyzed with an embodiment framework. The findings demonstrated that both classification experiences of Para sport athletes, and how athletes constructed their understanding of classification. The results show that athletes accepted the bodily experience of the classification process in different ways; 1) as a necessary pathway to sport, or 2) as a medicalized gaze upon the disabled body. They further reflected on the power imbalances in the experiences where often their own voice was rendered silent. These moments demonstrate disruption to self in embodied experiences. Athlete experiences were shaped by their knowledge surrounding classification, their identity as an individual with disability, and lastly their identity as an athlete. Knowledge from this study offers insights into the embodied experiences and disruptions of Para sport classification. This knowledge may offer insight and shape future classification models and research.

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 score0.076
Threshold uncertainty score0.488

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 studies0.0000.001
Scholarly communication0.0000.001
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 head0.173
GPT teacher head0.382
Teacher spread0.209 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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