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Record W2767113231 · doi:10.1123/tsp.2016-0152

“It’s This Thing of Being an Olympian That You Don’t Get From Anything Else”: Changing Experiences of Canadian Individual-Sport Athletes With Olympic Team Selection

2017· article· en· W2767113231 on OpenAlexaffabout
Carolyn E. McEwen, Laura Hurd Clarke, Erica Bennett, Kimberley A. Dawson, Peter R.E. Crocker

Bibliographic record

VenueThe Sport Psychologist · 2017
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsWilfrid Laurier UniversityUniversity of British Columbia
Fundersnot available
KeywordsAthletesPsychologyEliteSelection (genetic algorithm)Elite athletesInterpretation (philosophy)Interpretative phenomenological analysisIdentity (music)Social psychologyTeam sportApplied psychologyPolitical scienceSociologyQualitative researchSocial scienceAestheticsLaw

Abstract

fetched live from OpenAlex

The purpose of this study was to examine elite Canadian individual-sport athletes’ experiences with an Olympic team-selection process. Six nonselected Canadian individual-sport athletes who were attempting to qualify for the Olympics took part in 3 semistructured interviews during the Olympic team-selection process, after they gained knowledge of their selection status, and after the Olympic Games. Data were analyzed using interpretative phenomenological analysis. Three major themes emerged from the interpretation of the athletes’ experiences: (a) pursuing and expressing the Olympic athlete identity; (b) navigating the Olympic team-selection process: expectations, barriers, and tensions; and (c) moving on: reactions, life-goal reinvestment, and athletic-goal adjustment. Participants’ experiences were shaped by personal motivation and social expectations, with changes shifting across the 3 interview periods. Athletes attempted to manage the discontent of nonselection through processes of positive reappraisal, athletic-goal adjustment, and accentuating other life goals and identities.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient 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 score0.116
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.039
GPT teacher head0.311
Teacher spread0.272 · 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

Citations15
Published2017
Admission routes2
Has abstractyes

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