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Record W4411505647 · doi:10.53935/2641533x.v8i4.436

Coaching in the Special Olympics: A Comprehensive Annotated Bibliography of Resources and the Need for Continued Research in Canada

2025· article· en· W4411505647 on OpenAlexaffabout
Justin Heenan

Bibliographic record

VenueInternational Journal of Educational Studies · 2025
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsToronto Metropolitan UniversityTrent University
Fundersnot available
KeywordsCoachingContext (archaeology)AthletesPublic relationsPsychological interventionInclusion (mineral)PerceptionPsychologyPolitical scienceMedicineHistorySocial psychology

Abstract

fetched live from OpenAlex

Special Olympics is a global movement dedicated to promoting inclusion and fostering a sense of community through sports for individuals with intellectual disabilities. In Canada, the organization serves over 42,000 athletes, providing lifelong athletic opportunities from childhood through adulthood. This annotated bibliography examines 34 resources on coaching in the Special Olympics, including peer-reviewed articles and grey literature with a practical focus. It highlights the ongoing nature of Special Olympics programming, which occurs weekly in communities worldwide, contrasting with the perception of it being limited to occasional Olympic events. Research underscores the benefits of Special Olympics participation, while also highlighting the need for coaching resources. Further empirical research is needed to evaluate the impact of coaching interventions and to enhance coach development and athlete experiences within the Canadian context specifically. Continued research is essential for fostering long-term success within the Special Olympics community.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.134
Threshold uncertainty score0.924

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.003
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 head0.100
GPT teacher head0.475
Teacher spread0.375 · 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
Published2025
Admission routes2
Has abstractyes

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