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Record W3092980425 · doi:10.1177/0033294120967273

Perceptions About Quality of Interpersonal Processes and Practice Activities in Youth Sport Are Interdependent

2020· article· en· W3092980425 on OpenAlexaffabout
Enrique Garcíá Bengoechea, Philip M. Wilson, Steve Dunn

Bibliographic record

VenuePsychological Reports · 2020
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsBishop's UniversityBrock University
Fundersnot available
KeywordsPsychologyInterdependenceInterpersonal communicationPerceptionInterpersonal relationshipSocial psychologyDevelopmental psychologyApplied psychology

Abstract

fetched live from OpenAlex

Despite calls in the literature, little is known about how dimensions of a social and task nature relate to each other in school and out-of-school learning environments. This study explored whether interpersonal and task dimensions of the youth sport environment, as perceived by young people, are related, and, if so, how they are related. We used data from 310 adolescent sport participants from eastern Canada ( M age = 14.69 ± 1.60 years; 54.8% girls). Participants completed comprehensive assessments of interpersonal dimensions of the sport environment and the characteristics of learning activities they do in practices. We used canonical correlation analysis to examine the multivariate shared relationship between the variable sets. The relationship was largely captured by the first three functions in the canonical model. The first two functions revealed areas of intersection between perceptions of interpersonal and practice-based activity factors in the form of supports and challenges for the learning and development process in sport. Accounting for the participants’ age, the third function displayed characteristics consistent with recent descriptions of complex environments in youth sport. The findings suggest that adolescents’ perceptions of interpersonal- and task-related features of sport are interdependent, and highlight the relevance of including variables assessing both factors in studies that attempt to characterize and understand learning environments in sport and other achievement domains. Findings also afford new insights into whether dimensions of a social and task nature are complementary, and inadequacies in one dimension can be attenuated by strengths in another or not.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.120
GPT teacher head0.416
Teacher spread0.296 · 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.

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

Citations2
Published2020
Admission routes2
Has abstractyes

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