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Record W3155265117

Advancing Understanding of Toddler and Preschooler Sport Participation: A Research Area in its Infancy

2020· dissertation· en· W3155265117 on OpenAlexfundno aff
Meghan Harlow

Bibliographic record

VenueYork University Digital Library (York University) · 2020
Typedissertation
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsToddlerPsychologyDevelopmental psychology
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this doctoral dissertation was to advance understanding of early-years (<6) sport and organized physical activity (OPA) participation. This research involved a scoping review, followed by a qualitative case-study, which drew upon multiple data collection methods (semi-structured interviews, observation) from multiple perspectives (toddlers, preschoolers, parents, coaches; N=27), providing a comprehensive picture of early-years sport (Baxter & Jack, 2008; Creswell, 2012). Specific goals across four manuscripts/studies were to: (1) systematically review and synthesize research examining developmental outcomes associated with early-years sport involvement, (2) explore parents, coaches, and childrens perceived outcomes and experiences of early-years sport, (3) explore early-years sport pathways and patterns of engagement, and (4) explore coaches experiences in early-years sport, focusing on challenges-faced and strategies drawn-upon for effective coaching. Scoping review findings (Study 1) offer preliminary evidence that early sport and OPA participation is related to primarily positive outcomes (e.g., enhanced social skills, pro-social behaviours, self-regulation); however, negative and inconclusive outcomes were also identified. Study 2 showed some alignment between parents, coaches, and childrens perceived outcomes and experiences in early-years sport in the areas of physical activity, energy management, sport skill acquisition, physical literacy, learning to win and lose, and social/life skills. Findings were moderated by childrens age, developmental capacities, sport readiness, and attendance in other programs (e.g., music, preschool). Study 3 offered insight into early-years sport, OPA, and unstructured sport pathways, highlighting common features and engagement patterns within programming (e.g., structure, movement/sport skill focus, play-based activities). Findings suggest existing life-span sport participation/development models may not align with delivery of and experiences within early-years sport programming. Finally, Study 4 highlighted unique challenges and strategies for effective coaching across diverse early-years coaching contexts, showing differences according to program-type (i.e., private and club-based versus community-based). Collectively, this research advances limited understanding of early-years sport and OPA participation, which may help inform key stakeholders decisions around early-years sport programming; several important future research directions are outlined.

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)0.010
metaresearch head score (Gemma)0.020
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: none
Teacher disagreement score0.013
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.020
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.004
Science and technology studies0.0010.003
Scholarly communication0.0060.007
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.071
GPT teacher head0.279
Teacher spread0.208 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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