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Record W4411250075 · doi:10.56013/edu.v13i1.3724

Dukungan Sosial sebagai Penyangga Stres Karier pada Dewasa Awal: Telaah Literatur Tematik tentang Quarter-Life Crisis

2025· article· en· W4411250075 on OpenAlexaboutno aff
Achmad Nazhif Robbani, Nafisatuzzahra Nafisatuzzahra

Bibliographic record

VenueJurnal Educazione. · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and Radicalism
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyQuarter (Canadian coin)History

Abstract

fetched live from OpenAlex

Early adulthood is a developmental stage highly susceptible to career stress, especially as individuals face increasing pressure to achieve economic stability, professional success, and identity consolidation. This study aims to systematically explore the role of social support in helping emerging adults cope with career-related stress and the quarter-life crisis. Using a thematic literature review approach, various forms of social support, emotional, informational, instrumental, and companionship, were analyzed in relation to their impact on psychological well-being. The findings indicate that strong social support serves as a buffer against career stress, enhances self-confidence, and facilitates adaptation during life transitions. Support from family and peers significantly contributes to resilience, while involvement from educational institutions through mentorship programs and career counseling is recommended as a long-term preventive strategy. Further research using qualitative and longitudinal approaches is encouraged to explore individuals’ subjective experiences in deriving meaning from the social support they receive during this critical life phase. These findings are relevant for developing inclusive and responsive educational and mental health policies tailored to the needs of the younger generation.

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 categoriesScience and technology studies
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 score0.361
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
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.313
Teacher spread0.303 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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