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Record W2120801974 · doi:10.1123/tsp.27.2.143

Stress and Coping Among Adolescents Across a Competitive Swim Season

2013· article· en· W2120801974 on OpenAlexafffund
Meghan H. McDonough, Valerie Hadd, Peter R.E. Crocker, Nicholas L. Holt, Katherine A. Tamminen, Kimberly A. Schonert‐Reichl

Bibliographic record

VenueThe Sport Psychologist · 2013
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsUniversity of TorontoUniversity of AlbertaUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsNomothetic and idiographicStressorCoping (psychology)PsychologyElite athletesEliteDevelopmental psychologyCoping behaviorClinical psychologySocial psychologyAthletesMedicinePhysical therapy

Abstract

fetched live from OpenAlex

This study qualitatively examined the congruence between anticipated and experienced stressors and coping, and approaches to coping by elite adolescent swimmers across a competitive season. Eight swimmers were interviewed before and after 4 swim meets in a season. Data collection and analysis were guided by theories of stress and coping. Accuracy of anticipating stressors was low, and the stressors and coping strategies were variable across the season. Idiographic profiles were created for each athlete and grouped according to similar characteristics. Three groups included athletes who (a) generally perceived stressors as something to be avoided, (b) generally perceived stressors as problems to be solved, or (c) generally perceived swimming as fun and minimally stressful. These patterns appeared to be associated with anticipating stressors, highlighting the complex and dynamic nature of stress and coping among adolescent athletes.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.023
GPT teacher head0.335
Teacher spread0.312 · 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; both teacher heads agree on what is shown here.

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

Citations18
Published2013
Admission routes2
Has abstractyes

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