Dukungan Sosial sebagai Penyangga Stres Karier pada Dewasa Awal: Telaah Literatur Tematik tentang Quarter-Life Crisis
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.048 | 0.012 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".