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Record W2142850868 · doi:10.1123/jsep.2013-0144

Sources of Self-Efficacy and Coach/Instructor Behaviors Underlying Relation-Inferred Self-Efficacy (RISE) in Recreational Youth Sport

2014· article· en· W2142850868 on OpenAlexaff
Paul D. Saville, Steven R. Bray, Kathleen A. Martin Ginis, John Cairney, Deborah Marinoff-Shupe, Andrew Pettit

Bibliographic record

VenueJournal of Sport and Exercise Psychology · 2014
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPsychologySelf-efficacyRecreationInterpersonal communicationSocial psychologyInterpersonal relationshipDevelopmental psychologyExperiential learning

Abstract

fetched live from OpenAlex

Interpersonal feedback from coaches may be instrumental in the formation of children's self-efficacy to learn or perform sport skills. We report on two studies that explored perceived sources of self-efficacy and relation-inferred self-efficacy (RISE) in one-on-one interviews with sport camp participants (N = 61; ages 7-12) and focus groups with recreational league participants (N = 28; ages 8-12). Participants' responses indicated that prior experiences and socially constructed interactions contributed to the development of self-efficacy and RISE beliefs. Results support Bandura's (1997) theorizing that self-efficacy is developed through processing of experiential feedback as well as Lent and Lopez's (2002) tripartite theory proposing interpersonal feedback from influential others contributes to children's RISE and self-efficacy.

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)0.003
metaresearch head score (Gemma)0.009
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 score0.003
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
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 head0.035
GPT teacher head0.322
Teacher spread0.287 · 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

Citations39
Published2014
Admission routes1
Has abstractyes

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