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Record W4388488853 · doi:10.1123/tsp.2022-0088

Missing Out, as Well: The Absence of Youth Sports and Its Effect on Parents During the COVID-19 Global Pandemic

2023· article· en· W4388488853 on OpenAlexaff
Niël Strydom, Alex Murata, Jean Côté

Bibliographic record

VenueThe Sport Psychologist · 2023
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsQueen's University
Fundersnot available
KeywordsThematic analysisPsychologyDisengagement theoryFeelingPerceptionYouth sportsContext (archaeology)Coronavirus disease 2019 (COVID-19)PandemicPositive Youth DevelopmentSocial psychologyDevelopmental psychologyQualitative researchAthletesSociologyMedicineGerontology

Abstract

fetched live from OpenAlex

In December of 2019, COVID-19 began spreading globally. As a result, many youth sport organizations were forced to halt programming. While unfortunate, this imposed disengagement from youth sport provided an opportunity to explore what youth sport means to parents, being that this was the first time many were without it. As such, researchers aimed to explore the attitudes and perceptions of youth sport parents regarding their child’s sport participation in its absence. Semistructured interviews were conducted to explore these perceptions, and three themes were constructed through thematic analysis. Findings suggest that sport parents miss their experiences as “live-in” sports fans of their child’s sport participation due to the absence of their spectator experiences, social opportunities, and feelings of success, which drive their motivation for continued involvement. Understanding parental motivations to support youth sport participation may lead future researchers to uncovering the influences of parental behavior in the youth sport context.

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)0.002
metaresearch head score (Gemma)0.000
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 score0.026
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.062
GPT teacher head0.376
Teacher spread0.314 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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