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Record W4323065452 · doi:10.1123/apaq.2021-0188

The Value of Incorporating Inclusive Sports in Schools: An Exploration of Unified Sport Experiences

2023· article· en· W4323065452 on OpenAlexaff
Roxy H. O’Rourke, Krystn Orr, Rebecca Renwick, F. Virginia Wright, James Noronha, Kirsten Bobbie, Kelly P. Arbour‐Nicitopoulos

Bibliographic record

VenueAdapted Physical Activity Quarterly · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicInclusion and Disability in Education and Sport
Canadian institutionsHolland Bloorview Kids Rehabilitation HospitalToronto Rehabilitation InstituteUniversity of Toronto
Fundersnot available
KeywordsInclusion (mineral)Thematic analysisPsychologyContext (archaeology)Value (mathematics)PerceptionPedagogyPhysical educationMathematics educationQualitative researchSociologySocial psychologySocial scienceComputer science

Abstract

fetched live from OpenAlex

School sports programs intentionally created for students with and without disabilities may increase social participation of students with intellectual disabilities (IDs). Special Olympics Unified Sports is one program where students with and without ID participate on one team. Guided by a critical realist paradigm, this study explored the perceptions of students with and without ID and coaches of in-school Unified Sports. Interviews were conducted with 21 youths (12 with ID) and 14 coaches. Thematic analysis resulted in four developed themes (identified is outdated language): Inclusion-Is it a "we" or a "they?" Roles and Responsibilities, Educational Context for Inclusion, and Buy-In. Findings suggest students with and without ID and coaches value the inclusive nature of Unified Sports. Future research should explore training for coaches on inclusive practices (e.g., language), and optimal methods for consistent training (e.g., use of training manuals) to foster the philosophy of inclusion within school sports.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.267
Threshold uncertainty score0.473

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.039
GPT teacher head0.366
Teacher spread0.327 · 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

Citations10
Published2023
Admission routes1
Has abstractyes

Explore more

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