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Record W3120956504 · doi:10.1123/jsep.2020-0210

How Do Sport Parents Engage in Autonomy-Supportive Parenting in the Family Home Setting? A Theoretically Informed Qualitative Analysis

2021· article· en· W3120956504 on OpenAlexaff
Nicholas L. Holt, Helene Jørgensen, Colin J. Deal

Bibliographic record

VenueJournal of Sport and Exercise Psychology · 2021
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAutonomyPsychologyDevelopmental psychologyQualitative researchSocial psychologyParenting stylesStyle (visual arts)Social support

Abstract

fetched live from OpenAlex

The purpose of this study was to identify and examine how sport parents engage in autonomy-supportive parenting in the family home setting. A total of 44 parents and children from 19 families were initially interviewed. Data from these families were profiled to identify seven families that adopted a highly autonomy-supportive parenting style. The seven families' data were then examined using a theoretically focused qualitative analysis using the three dimensions of autonomy-supportive parenting. Sport parents engaged in autonomy support (vs. control) through flexible conversations and supporting decision making. The themes of boundary setting and establishing expectations based on values were indicative of structure. The authors found high levels of involvement across contexts. These findings depict the nature and types of social interactions in the family home that created an autonomy-supportive emotional climate, which often extended to sport, providing a foundation for future theoretical development and applied research in sport.

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)0.008
metaresearch head score (Gemma)0.016
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0050.004
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.001
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 head0.027
GPT teacher head0.362
Teacher spread0.336 · 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

Citations15
Published2021
Admission routes1
Has abstractyes

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