MétaCan
Menu
Back to cohort
Record W2479521382 · doi:10.14288/1.0221255

Team selection transition processes in competitive sport

2015· article· en· W2479521382 on OpenAlexaffabout
Carolyn E. McEwen

Bibliographic record

VenuecIRcle (University of British Columbia) · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicSports Analytics and Performance
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSelection (genetic algorithm)Transition (genetics)Computer scienceArtificial intelligenceBiology

Abstract

fetched live from OpenAlex

Team selection processes are an inherent part of high performance sport and may impact athletes’ sport engagement and psychological adjustment (Samuel & Tenenbaum, 2011a). The purpose of this program of research was to advance understanding of high performance developmental and elite athletes’ experiences with significant team selection processes. Two prospective-longitudinal studies were conducted to achieve this objective. The first study examined how elite athletes negotiated the 2012 Olympic team selection process from an Interpretative Phenomenological Analysis perspective (Smith, Flowers, & Larkin, 2009). Three primary themes emerged from analysis of the interviews including the Olympic goal, navigating the Olympic team selection process, and moving on from the Olympics. Results suggested that participants organized their athletic and vocational endeavours around their goal of being selected to compete in the Olympic Games, demonstrating significant investment and sacrifice. To cope with non-selection, athletes reappraised where the 2012 Olympic Games fit within their athletic careers, engaged in new and meaningful athletic, social, and vocational goals, and emphasized the prominence of social and vocational identities unrelated to sport. Study two examined how stress and adaptational processes were impacted by the 2013 Canada Summer Games (CSG) selection process. Multilevel modeling was employed to investigate changes in cognitive appraisals, emotions, coping, sport engagement, athletic goal progress, and life satisfaction in relation to athletes’ CSG selection status. Findings suggested that the CSG tryout had a meaningful impact on athletes as evidenced by changes in emotions, cognitive appraisals, and athletic goal progress in relation to their selection status. However, the CSG selection process did not affect athletes’ sport engagement or life satisfaction. Collectively, results from both studies indicated that athletes reappraised selection processes over time and varied in their emotional responses to team tryouts, highlighting the importance of investigating intrapersonal change and interpersonal differences associated with team selection events. Findings also suggested that the stage of sport career influenced the meaning athletes attached to specific selection processes and the degree to which these events influenced their life as a whole.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.217
Threshold uncertainty score0.885

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.015
GPT teacher head0.165
Teacher spread0.150 · 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
Published2015
Admission routes2
Has abstractyes

Explore more

Same venuecIRcle (University of British Columbia)Same topicSports Analytics and PerformanceFrench-language works237,207