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Record W4245205054 · doi:10.32920/ryerson.14644962

Examining the Potential Inclusion of Adaptive Sport in the NCAA

2021· preprint· en· W4245205054 on OpenAlexaff
Erik Robeznieks

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicSports injuries and prevention
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsInterdependenceInclusion (mineral)Public relationsPopulationEquity (law)PsychologyAdaptive strategiesSociocultural evolutionPolitical scienceSocial psychologySociologyGeographyLaw

Abstract

fetched live from OpenAlex

Executive Summary: The central research question of this study is to investigate if there is a case for the inclusion of adaptive sport in the NCAA. This study is important because of issues of equity, the sociocultural perceptions of disability and adaptive sport, the physical, social, psychological, and societal benefits of sport participation, and recent education and employment-population ratio statistics in the United States. Supporting this central question are five inquiries (the dependent variables of the study): What are the barriers and challenges for collegiate adaptive sport? What are the growth opportunities for collegiate adaptive sport? What are goals for the future of collegiate adaptive sport? What are integration strategies for collegiate adaptive sport in the NCAA? Is sport a major life activity? Based on the literature, four themes stand out regarding the advancement of collegiate adaptive sport. First, there are legal aspects such as Title IX, the Rehabilitation Act, and Americans with Disabilities Act that shape the current landscape of collegiate adaptive sports. Second, the greatest momentum for change in the NCAA could come from institutions and conferences taking a leadership role in championing change and pressuring the interdependent network of the NCAA. Third, the experience of females in collegiate athletics could be used to understand some of the challenges for adaptive sport and the top-down initiatives that could help the growth of adaptive sport. Fourth, the advancement of adaptive sport will require change in the current system and the critical change factor model by Fay (1999) can be used as a framework to understand what change factors could be effective. The research question was examined through qualitative interviews with stakeholder groups affiliated with the landscape of collegiate adaptive sport. These groups included collegiate adaptive sport athletes (A), collegiate adaptive sport staff (B), athletic department staff (C), and external organizations (e.g. national governing sport bodies) (D). The interviews were thematically analyzed to yield key themes and recommendations as they pertained to the dependent variables. There were 38 participants in the study with 3, 21, 8, and 6 people from groups A through D respectively. NCAA status for adaptive sport was found to be a desirable goal for the future and there are frameworks that can make it possible (e.g. the ECAC Inclusive Sport model). However, there must be a critical mass of adaptive sport athletes, a growth of and greater concentration of programming at the collegiate level and more purposeful and effective support from the top-down. Recommendations for how stakeholders could collaborate to grow adaptive sport at the collegiate level include: • Invest in K to 12 adaptive sport programming • Educate senior leaders of institutions and organizations about disability and adaptive sport • Create a resource guide for NCAA institutions for adaptive athlete recruitment and training • Develop an “Emerging Adaptive Sports” program in the NCAA • Create a Senior Disability or Inclusion Administrator designation for athletic departments • Expand on the ECAC Inclusive Sport Principles 1 through 3 to other conferences • Implement able-body inclusion and consider coed teams in collegiate wheelchair basketball Recommendations for future research include examining effects of K-12 programming on participation levels in adaptive sport, adaptive athlete perceptions of able-body participation in adaptive sport, the appropriate number of sponsors for an “Emerging Adaptive Sports” program, the qualitative and quantitative impact that collegiate adaptive sports programs have on their institutions, further research on sport as a major life activity, adaptive athlete experiences on coed teams, and key leader perceptions (e.g. Athletic Directors) of disability and adaptive sport.

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)0.007
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.095
Threshold uncertainty score0.188

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.034
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0040.002
Scholarly communication0.0040.003
Open science0.0030.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.031
GPT teacher head0.293
Teacher spread0.262 · 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 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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