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Record W2990612309 · doi:10.1123/jsm.2019-0061

The Role of the Commonwealth Youth Games in Pre-elite Athlete Development

2019· article· en· W2990612309 on OpenAlexaff
Eric MacIntosh, Popi Sotiriadou

Bibliographic record

VenueJournal of Sport Management · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAthletesPsychologyCommonwealthEliteEvent (particle physics)Social psychologyElite athletesAction (physics)Competition (biology)Service (business)Applied psychologyPublic relationsMarketingPolitical scienceBusinessMedicine

Abstract

fetched live from OpenAlex

Through the lens of the theory of reasoned action and the framework of attraction, retention, transition, and nurturing of athletes, this study examined how athletes’ experiences at the Commonwealth Youth Games contributed to satisfaction with the event, while encouraging transition into higher levels of competition. A total of 244 athletes from 23 different countries who completed a survey helped identify the environment-related aspects that created positive and negative experiences. The participants noted that learning from various social and cultural experiences influenced their event satisfaction and their future intention to remain in high-performance sport. Aspects of the event service environment, including poor accommodation and nutrition, were found to negatively impact performance. This paper contributes to the role of pre-elite events as athletic development agents that aid in talent transition. The results have implications for event organizers and high-performance managers regarding the influence of athletes’ experiences on performances and intention to transition.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.549
Threshold uncertainty score0.189

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.013
GPT teacher head0.267
Teacher spread0.254 · 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 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
Published2019
Admission routes1
Has abstractyes

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