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Record W1600133009 · doi:10.1123/apaq.25.1.49

Physical Activity and Sport Participation in Youth with Congenital Heart Disease: Perceptions of Children and Parents

2008· article· en· W1600133009 on OpenAlexaff
Fiona J Moola, Guy Faulkner, Joel A. Kirsh, Jennifer Kilburn

Bibliographic record

VenueAdapted Physical Activity Quarterly · 2008
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsCovertPsychologyPerceptionPhysical activityDevelopmental psychologyContext (archaeology)Heart diseasePopulationMedicinePhysical therapyInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

This study explored perceptions toward physical activity and sport in the lives of youth with congenital heart disease. Thirteen cardiac participants were interviewed in the presence of their parents, and a process of inductive analysis was conducted. Sport was not considered a valued pursuit despite the belief that it is essential for the attainment of good health. Low-self efficacy and fatigue were influenced by covert fears and exclusion and further decreased the value ascribed to sport and physical activity. Nontraditional activities, support from others, and perceptions of mastery played a crucial role in enabling participation and facilitated the journey toward recovery. Findings are discussed within the context of self-efficacy theory and may inform the design of safe and enjoyable physical activity opportunities for this population.

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)0.001
metaresearch head score (Gemma)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.042
GPT teacher head0.363
Teacher spread0.321 · 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

Citations93
Published2008
Admission routes1
Has abstractyes

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