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Exploring the quality of participation and strategies to support meaningful engagement in an adapted paddleboard program among individuals with disabilities

2024· article· en· W6977311278 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2024
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsQuality (philosophy)BelongingnessAutonomySocial engagementData collectionQualitative researchQualitative propertyDescriptive statistics

Abstract

fetched live from OpenAlex

Adapted paddleboard provides an outdoor leisure-time physical activities (LTPA) opportunity with many health benefits (e.g., physical activity, reduced stress, social engagement). However, nearly 50% of individuals with disabilities do not participate in any LTPA. Quality of LTPA participation influences sustainable adherence, while optimizing participant experiences. An adapted paddleboard program is offered in Quebec City, for adults with physical disabilities, but little is known about how participants perceive their quality of participation. This study aimed to describe individuals with disabilities’ perceived quality of participation in the adapted paddleboard program, and to explore their suggestions of strategies to support meaningful engagement in the program. An ethnographic mixed-methods design was conducted, consisting of participant observations during the 13-week program and semi-structured interviews based on the Quality Parasport Participation Framework (QPPF). Measure of Experiential Aspects of Participation (MeEAP) questionnaire were collected. A mixed approach of data analysis was used for qualitative data and descriptive statistics were conducted for quantitative data. Nine participants (8F) with various disabilities (42±15 years old) participated in the study. Emergent dimensions of quality of participation included belongingness and autonomy. Facilitators to participation were identified, such as autonomy support through volunteers and provision of adaptive equipment. Barriers to participation included water access and level of individual challenge. Suggested strategies to improve engagement included water access closer to parking and multiple groups for variable skill levels. Participants expressed high-quality of participation in adapted paddleboarding. The study allows the development of knowledge about conditions that enhance the experience of participating in outdoor LTPA. Adapted paddleboard is an increasingly popular activity that can be adapted with material and environmental accommodations for people with disabilities to enable and enhance participation in outdoor leisure-time physical activities (LTPA).Several facilitators, such as the safety of the site or the social support created by the group, enhance quality of experience in leisure-time physical activities (LTPA) including adapted paddleboard; therefore, support sustainable adherence in the practice of physical activities, well-being and social participation.Further opportunities to practice LTPA such as adapted paddleboard in a public space to promote social inclusion are necessary. Adapted paddleboard is an increasingly popular activity that can be adapted with material and environmental accommodations for people with disabilities to enable and enhance participation in outdoor leisure-time physical activities (LTPA). Several facilitators, such as the safety of the site or the social support created by the group, enhance quality of experience in leisure-time physical activities (LTPA) including adapted paddleboard; therefore, support sustainable adherence in the practice of physical activities, well-being and social participation. Further opportunities to practice LTPA such as adapted paddleboard in a public space to promote social inclusion are necessary.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.022
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
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 head0.295
GPT teacher head0.397
Teacher spread0.102 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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