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Record W4413893796 · doi:10.1177/15588661251372108

An Inquiry into the Accessibility of Campus Recreation for College Students with Disabilities

2025· article· en· W4413893796 on OpenAlexaff
Kayla Abrahamson, Samantha M Ross-Cypcar, Seán Healy, Melissa Sherfinski, Eloise Elliott, Andrea Taliaferro

Bibliographic record

VenueRecreational Sports Journal · 2025
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsEducation and Early Childhood Development
FundersNIRSA Foundation
KeywordsRecreationMathematics educationPsychologyPedagogyMedical educationSociologyMedicinePolitical science

Abstract

fetched live from OpenAlex

University recreation centers are essential for college student physical activity, yet 68% of students with disabilities (SWD) use these facilities fewer than five times annually. Physical and programmatic barriers, including physical access and program inclusivity, may limit SWD participation. This study evaluated the accessibility of three campus recreation facilities at southeastern U.S. public universities using the AIMFREE assessment and interviews with campus recreation directors and staff. Results showed below-average accessibility (<50%) across half of AIMFREE sections, with policies, access routes, and professional training scoring the lowest (7–35%). Interviews revealed gaps in funding allocation, limited adapted programming, and insufficient inclusive marketing efforts. Staff also cited a lack of knowledge, training, and resources as significant barriers but expressed a commitment to addressing these challenges. Findings emphasize the need for tailored training programs that address the unique environmental and cultural contexts of campus recreation to improve accessibility and inclusivity for SWD.

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)0.000
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 score0.028
Threshold uncertainty score0.712

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.400
Teacher spread0.372 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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