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Record W4402802766 · doi:10.1177/15394492241280198

Participation Strategies Used by Young People With and Without Physical Disabilities

2024· article· en· W4402802766 on OpenAlexaff
Andrianantenaina Ornella, Baladzhanov Nikol, Germain Lauriane, Schneidman Lyndsay, Saeideh Shahin, Anaby Dana

Bibliographic record

VenueOTJR Occupational Therapy Journal of Research · 2024
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsMcGill UniversityCentre for Interdisciplinary Research in Rehabilitation
Fundersnot available
KeywordsPsychologyQualitative researchDescriptive statisticsInclusion (mineral)Applied psychologyDevelopmental psychologyGerontologySocial psychologySociologyMedicine

Abstract

fetched live from OpenAlex

Participation strategies used by young people (YP) are understudied. This study aimed to identify strategies used by YP with and without physical disabilities to promote participation at home, school, community, and workplace. In this qualitative descriptive study, 106 participants ages 12 to 30 ( x ¯ = 22.7) years, with ( n = 52) and without ( n = 54) physical disabilities, reported up to three strategies to facilitate their participation in four settings using the Youth, Young-Adult Participation and Environment Measure. A total of 1,235 strategies were analyzed using inductive content analysis. As a result, 11 categories emerged; seven were environment-focused and four were person-focused. Both groups used time management, built on intrinsic factors, and utilized social support across all settings. At school, those with disabilities uniquely benefited from accommodative institutional environments. They also reported more strategies involving advocacy, analyzing a situation, and seeking accommodative physical and social environments. The findings illustrate a range of participation strategies YP use that may inform ways to promote participation more effectively.

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)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0010.003
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 head0.097
GPT teacher head0.453
Teacher spread0.356 · 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

Citations3
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueOTJR Occupational Therapy Journal of ResearchSame topicCerebral Palsy and Movement DisordersFrench-language works237,207