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Record W4403392484 · doi:10.1080/10413200.2024.2414002

“I always just viewed it as part of sport”: Psychological maltreatment and conformity to the sport ethic

2024· article· en· W4403392484 on OpenAlexaff
Sarah McGee, Gretchen Kerr, Michael Atkinson, Ashley Stirling

Bibliographic record

VenueJournal of Applied Sport Psychology · 2024
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsConformityPsychologySport psychologySocial psychologyApplied psychology

Abstract

fetched live from OpenAlex

Sport environments have the potential to be advantageous to one’s development and well-being; however, they are also plagued with the normalization of excessive pressures and extreme expectations that can enhance athletes’ susceptibility to experiencing harm, especially psychological maltreatment. The purpose of this study was to qualitatively explore athletes’ experiences of conforming to the sport ethic and experiences of psychological maltreatment in sport. Semi-structured interviews were completed with thirteen retired, competitive, women athletes. Each interview was transcribed verbatim and analyzed thematically. Findings demonstrate that the sport ethic influences the vulnerability of athletes to experiencing psychological maltreatment and athletes’ experiences of psychological maltreatment influence their conformity to the sport ethic. The desire to please is identified as central to this nexus between conformity and experiences of psychological maltreatment. The paper concludes with applied recommendations for sport psychology practitioners.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.285
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.054
GPT teacher head0.397
Teacher spread0.343 · 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 designNot applicable
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

Citations5
Published2024
Admission routes1
Has abstractyes

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