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Record W7132965296

Exploring the Developmental Experiences of Youth Athletes During the Transition to Competitive Sport

2022· dissertation· W7132965296 on OpenAlexaff
Rachel Clare Dunn

Bibliographic record

VenueTSpace · 2022
Typedissertation
Language
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsConceptualizationAthletesPsychosocialPositive Youth DevelopmentQualitative researchRecreationCompetitive sportCompetitive athletes
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this dissertation was to study athletes’ experiences during a year in which they have the potential to transition from recreational to competitive sport. Two studies are presented in this dissertation to support this aim. Study 1 was a scoping review of positive youth development through sport and athletic transition research and aimed to investigate how theory has informed research in these two bodies of literature. 207 articles and dissertations were included, and data was extracted according to Sandelowski’s (1993) conceptualization of the uses, centrality, and function of theory in research. Main findings included: a limited body of literature that had examined youth athletes’ experiences of transitioning into the athletic pathway; the breadth of developmental and non-developmental theoretical frameworks that have informed youth sport research; and that theories are predominantly used in a peripheral, rather than central manner to introduce youth sport as a developmental context, or to explain findings related to research outcomes. Study 2 was an example of how youth sport transitions can be studied from a developmental approach. Seven parent-child dyads took part in a longitudinal (one year), mixed methods case study to explore how children’s transitions in sport influenced, and were influenced by, their psychosocial development. Children were aged between 8 and 12 (M = 10 years, SD = 1.3 years) and parents were aged between 42 and 51 (M = 44.9 years, SD = 5.1 years) at the start of the study. Participants completed measures of sports experiences, self-perceptions, and social competencies, as well as qualitative interviews at three timepoints during their potential transition. Results were analyzed using reflexive thematic analysis and quantitative data was visually inspected in Microsoft Excel. Themes explore children’s experiences related to their self-perceptions and social comparisons during the transition. Additional themes include the impact of physical maturation and the Covid-19 Pandemic for children’s transitions in sport. Collectively, the studies included in this dissertation contribute a novel approach to reviewing youth sport research (namely, by analyzing the use of theory), and documented some of the psychosocial skills that are relevant when studying transitions among youth samples.

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)0.005
metaresearch head score (Gemma)0.007
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 score0.011
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.003
Scholarly communication0.0050.003
Open science0.0010.004
Research integrity0.0010.002
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 head0.063
GPT teacher head0.347
Teacher spread0.284 · 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
Published2022
Admission routes1
Has abstractyes

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