MétaCan
Menu
Back to cohort
Record W2161217406 · doi:10.1123/apaq.28.4.291

“What’s the Difference?” Women’s Wheelchair Basketball, Reverse Integration, and the Question(ing) of Disability

2011· article· en· W2161217406 on OpenAlexaffabout
Nancy Spencer-Cavaliere, Danielle Peers

Bibliographic record

VenueAdapted Physical Activity Quarterly · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicInclusion and Disability in Education and Sport
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsInsiderContext (archaeology)AthletesIdentity (music)BasketballNegotiationPsychologyInclusion (mineral)Theme (computing)Social psychologySociologyPolitical scienceSocial scienceMedicinePhysical therapyAesthetics

Abstract

fetched live from OpenAlex

The inclusion of able-bodied athletes within disability sport, a phenomenon known as reverse integration, has sparked significant debate within adapted physical activity. Although researchers and practitioners have taken up positions for or against reverse integration, there is a lack of supporting research on the experiences of athletes who already play in such settings. In this study, we explore how competitive female athletes who have a disability experience reverse integration in Canadian wheelchair basketball. Athletic identity was used as the initial conceptual framework to guide semistructured interviews with nine participants. The results suggest that participation in this context contributed to positive athletic identities. Interviews also pointed to the unexpected theme of "what's the difference?" that this sporting context provided a space for the questioning and creative negotiation of the categories of disability and able-bodiedness. Methodologically, this paper also explores the possibilities and challenges of inter- worldview and insider-outsider research collaboration.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.407
Threshold uncertainty score0.810

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.023
Scholarly communication0.0050.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.313
Teacher spread0.285 · 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 source (direct Gemma or distilled Codex), 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

Citations44
Published2011
Admission routes2
Has abstractyes

Explore more

Same venueAdapted Physical Activity QuarterlySame topicInclusion and Disability in Education and SportFrench-language works237,207