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A Literature Review of the Relationship Between Big Five Personality Traits and Adolescent Well-Being

2025· review· en· W4414160983 on OpenAlexaff

Bibliographic record

VenueLecture Notes in Education Psychology and Public Media · 2025
Typereview
Languageen
FieldPsychology
TopicPersonality Traits and Psychology
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsBig Five personality traitsAgreeablenessBig Five personality traits and cultureHierarchical structure of the Big FiveAlternative five model of personalityConscientiousnessOpenness to experiencePersonality

Abstract

fetched live from OpenAlex

This study systematically reviews the relationship between the Big Five personality traits and adolescent well-being. Key findings indicate that: (1) Extraversion and conscientiousness consistently predict higher levels of well-being, while neuroticism shows a stable negative association; (2) The effects of agreeableness and openness are highly context-dependent, with their strength and direction moderated by collectivist versus individualist cultural frameworks; (3) Analyses of underlying mechanisms identify self-esteem and social support as key mediating variables; and (4) Cultural factors significantly moderate the pathways linking personality traits to well-being. This synthesis integrates empirical evidence on the Big Five personality traits and adolescent well-being, providing a personality psychology foundation for the development of mental health interventions. Future research should prioritize long-term longitudinal studies and further investigation into the psychological mechanisms through which these traits influence adolescent well-being.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0060.006
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.074
GPT teacher head0.409
Teacher spread0.336 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations0
Published2025
Admission routes1
Has abstractyes

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