MétaCan
Menu
Back to cohort
Record W4399530216 · doi:10.1080/1612197x.2024.2359872

International society of sport psychology position stand: elite athlete mental health revisited

2024· article· en· W4399530216 on OpenAlexaff
Robert J. Schinke, Kristoffer Henriksen, Zella E. Moore, Natalia Stambulova, Jessica Bartley, Suzanne Cosh, Christopher R. D. Wagstaff, Alessandro Quartiroli, Paul Wylleman, Charles A. Maher, Liwei Zhang, Gangyan Si, Göran Kenttä, Chun‐Qing Zhang, Yufeng Li, Andreas Kuettel, Maria Regina Ferreira Brandão, Rebecca Wong

Bibliographic record

VenueInternational Journal of Sport and Exercise Psychology · 2024
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsLaurentian University
Fundersnot available
KeywordsPsychologySport psychologyEliteMental healthElite athletesApplied psychologyPosition (finance)AthletesPolitical sciencePsychotherapistPhysical therapyPoliticsMedicine

Abstract

fetched live from OpenAlex

Athlete mental health, though long present within research and practice, has recently become a central topic area within the sport and exercise psychology field. The International Society of Sport Psychology has been at the forefront of these discussions, evidenced by a foundational position stand in 2018 and subsequent consensus statements derived from international think tanks. Within this position stand, contributors from the international community spanning five continents collaborated to present key, updated ideas and emerging concepts relating to clinical understandings of athlete mental health, trends in athlete mental health status, the role of the sport environment, mental health in relation to athlete careers, the global treatment of athlete mental health, cultural considerations in relation to understanding this topic, and nine synthesising postulates.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.272
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.020
GPT teacher head0.382
Teacher spread0.362 · 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 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

Citations46
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Sport and Exercise PsychologySame topicSport Psychology and PerformanceFrench-language works237,207