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Record W4389056376 · doi:10.1080/01490400.2023.2285339

Exploring Parental Experiences and Meaning of Involvement within Youth Sport: An Interpretative Phenomenological Analysis

2023· article· en· W4389056376 on OpenAlexaff
Keetyn Maxwell, Shannon Kerwin

Bibliographic record

VenueLeisure Sciences · 2023
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsBrock UniversityUniversity of Regina
Fundersnot available
KeywordsInterpretative phenomenological analysisSalience (neuroscience)Meaning (existential)PsychologyPhenomenology (philosophy)Identity (music)Social psychologyMeaning-makingEpistemologySociologyQualitative researchAestheticsPsychotherapistCognitive psychologySocial science

Abstract

fetched live from OpenAlex

By applying an interpretative phenomenological analysis approach, the purpose of the study was to explore the lived experience of parental involvement in youth sport and the meaning the involvement holds. Specifically, we examined how role identity theory provides a deeper understanding of how parents experience and provide meaning to their involvement in their children’s sport. The overarching themes interpreted from the data include Expectations of Involvement, Commitment, and Constructing Meaning-making of the Experience. These findings highlight the ways in which role identity salience defines the meaning involvement as a leisure pursuit holds to a parent. This study provides a deeper theoretical understanding of the experience of being a parent involved in youth sport, as well as highlights the usefulness of conducting research in this field with an interpretative phenomenological analysis approach to explore a complex and diverse topic.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.407
Threshold uncertainty score0.560

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.215
GPT teacher head0.361
Teacher spread0.146 · 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.

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

Citations4
Published2023
Admission routes1
Has abstractyes

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