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Record W4317681215 · doi:10.1123/apaq.2022-0046

“It Shaped My Future in Ways I Wasn’t Prepared for—in the Best Way Possible”: Alumni Volunteers’ Experiences in an Adapted Sports and Recreation Program

2023· article· en· W4317681215 on OpenAlexaff
Meredith Wekesser, Guilherme H. Costa, Piotr J. Pasik, Karl Erickson

Bibliographic record

VenueAdapted Physical Activity Quarterly · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicInclusion and Disability in Education and Sport
Canadian institutionsYork UniversityQueen's University
Fundersnot available
KeywordsRecreationThematic analysisTransformative learningPsychologyInclusion (mineral)Medical educationQualitative researchApplied psychologyQualitative propertyGerontologySocial psychologyPedagogySociologyMedicinePolitical scienceSocial science

Abstract

fetched live from OpenAlex

Adapted sport participation can have many positive benefits for adults with disabilities. However, one barrier to implementing successful adapted sport programs is lack of knowledgeable volunteers who understand accessibility and disability. In fact, little is known about volunteers' experiences in adapted sport programs. The purpose of this study was to retrospectively examine experiences of able-bodied volunteers in an adapted sport program. A sample of 105 able-bodied volunteers (Mage = 24.28 ± 1.93) completed an online qualitative survey to share their experiences. Data were analyzed using qualitative thematic analysis, and seven main themes were identified. Results showed that despite differences in initial motives for volunteering, involvement in an adapted sport program was transformative and, for some, life changing. Able-bodied volunteers experienced a wide range of benefits including deeper understanding and awareness of disability and inclusion in sport. Practical recommendations are provided for volunteer-based adapted sport program leaders.

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 score0.178
Threshold uncertainty score0.988

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 head0.043
GPT teacher head0.361
Teacher spread0.318 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

Explore more

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