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Record W2140445492 · doi:10.1123/jcsp.4.1.1

Experiences of Burnout Among Adolescent Female Gymnasts: Three Case Studies

2010· article· en· W2140445492 on OpenAlexaff
Nicole Dubuc, Robert J. Schinke, Mark Eys, Randy C. Battochio, Leonard D. Zaichkowsky

Bibliographic record

VenueJournal of Clinical Sport Psychology · 2010
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsLaurentian University
Fundersnot available
KeywordsPsychologyBurnoutRespondentCoping (psychology)Clinical psychologyDevelopmental psychologySocial psychology

Abstract

fetched live from OpenAlex

Within the current study, the process of adolescent burnout is considered in relation to perceived contributors, symptoms, consequences, and subsequently, effective and ineffective coping strategies. Through case studies, the researchers sought the burnout experiences of three competitive female gymnasts. Participants were selected based on scores obtained from Raedeke and Smith’s (2001) Athlete Burnout Questionnaire. To gain a comprehensive understanding of the process, athlete data were considered in tandem with interviews from at least one parent and one coach. Transcribed data were segmented into meaning units, coded into a hierarchy of themes and verified by each respondent. Despite common trends among the participants, differences were also found in relation to symptoms, contributors, and the progression of the condition. Implications are provided for the athlete/parent/coach triad and also for sport psychologists.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, 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 score0.032
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.128
GPT teacher head0.511
Teacher spread0.383 · 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

Citations19
Published2010
Admission routes1
Has abstractyes

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