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Record W4400678410 · doi:10.1080/10413200.2024.2377970

Suicidal ideation among Chinese national team elite athletes

2024· article· en· W4400678410 on OpenAlexaff
Liwei Zhang, Robert J. Schinke, Yang Ge, Cole E. Giffin, Hongying Fan

Bibliographic record

VenueJournal of Applied Sport Psychology · 2024
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsLaurentian University
Fundersnot available
KeywordsPsychologyAthletesEliteSuicidal ideationElite athletesIdeationApplied psychologyClinical psychologySuicide preventionPoison controlPhysical therapyMedical emergencyMedicinePolitical science

Abstract

fetched live from OpenAlex

The present study reveals the subjective experiences of suicidal ideation among Chinese national team athletes. The two objectives were to situate the experiences of athletes’ suicidal ideation and to identify the common features of athletes’ suicidal ideation and their coping strategies in the Chinese sport system. Following a critical realist framework, 10 national team athletes were purposively recruited to share their experiences of suicidal ideation as they progressed in their national teams through in-depth semi-structured interviews. A reflexive thematic analysis followed by composite vignettes were undertaken to provide a rich description of suicidal ideation in relation to the athletes’ progressive careers. Three composite vignettes were generated: (a) suicidal ideation resulting from early overtraining, (b) difficulty in adjusting to a highly competitive environment post-transition, and (c) competition failures among established athletes. The manifestations, durations, reactions, and coping strategies of suicidal ideations varied as the athletes progressed in their careers. Age, athletic performance, social support, medal-orientation, and collectivism contributed to suicidal ideation.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.603
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.402
Teacher spread0.386 · 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

Citations3
Published2024
Admission routes1
Has abstractyes

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