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Record W3112824084 · doi:10.1080/13548506.2020.1861637

Negative affect and life satisfaction mediate the association between negative life events and suicidal ideation in college students

2020· article· en· W3112824084 on OpenAlexaff
Yang Yang, Yu Liu, Zhehao Jiang, Juanchan Mo, Chenxu Wang, Yanan Yang, Xuji Jia, Lin Lin

Bibliographic record

VenuePsychology Health & Medicine · 2020
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsMcGill University
FundersNational Natural Science Foundation of China
KeywordsSuicidal ideationLife satisfactionAffect (linguistics)MediationPsychologyClinical psychologyAssociation (psychology)Suicide preventionPoison controlMedicineSocial psychologyPsychotherapistMedical emergency

Abstract

fetched live from OpenAlex

The present research hypothesized that negative life events are related to suicide ideation through the chain mediation of negative affect and life satisfaction. A sample of 566 undergraduates completed questionnaires investigating suicidal ideation, negative life events, negative affect, and life satisfaction. The results indicated a significant chain mediation from negative life events to suicidal ideation through negative affect and life satisfaction. The present study showed that negative affect and life satisfaction are important mediators of the association between negative life events and suicidal ideation in undergraduates. Concerning suicide prevention among undergraduates, attention should be paid to negative affect and life satisfaction.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score0.789

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.062
GPT teacher head0.421
Teacher spread0.359 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations20
Published2020
Admission routes1
Has abstractyes

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