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Record W2780351051 · doi:10.1123/apaq.2017-0028

“I’ve Had Bad Experiences With Team Sport”: Sport Participation, Peer Need-Thwarting, and Need-Supporting Behaviors Among Youth Identifying With Physical Disability

2017· article· en· W2780351051 on OpenAlexaff
Krystn Orr, Katherine A. Tamminen, Shane N. Sweet, Jennifer R. Tomasone, Kelly P. Arbour‐Nicitopoulos

Bibliographic record

VenueAdapted Physical Activity Quarterly · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicInclusion and Disability in Education and Sport
Canadian institutionsQueen's UniversityMcGill UniversityUniversity of Toronto
Fundersnot available
KeywordsPsychologyThematic analysisContext (archaeology)Youth sportsApplied psychologyFocus groupSocial psychologyDevelopmental psychologyQualitative researchAthletesMedicine

Abstract

fetched live from OpenAlex

This study was guided by self-determination theory to explore the sport experiences of youth with a physical disability and the role of peers within this context. Interviews were conducted with eight youths using a relational mapping technique and analyzed using a deductive thematic approach. Sport peers were broadly defined by the youth as individuals from a large age range and of all abilities. Youth perceived their sport peers to have dynamic roles throughout their participation in sport. The perceived roles of these sport peers included supporting and thwarting basic psychological needs, and influencing the youths' processing of sport internalization. Findings focus on the complexity of peer need-thwarting and need-supporting interactions in sport for youth with physical disabilities. Overall, peers have a multifaceted role in the sport experiences of youth identifying with a physical disability and may, in some cases, thwart youths' basic psychological needs.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.003
Scholarly communication0.0010.002
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 head0.029
GPT teacher head0.359
Teacher spread0.330 · 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; both teacher heads agree on what is shown here.

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

Citations31
Published2017
Admission routes1
Has abstractyes

Explore more

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