Pendekatan Psikodiagnostik dalam Mengkaji Quarter Life Crisis pada Mahasiswa Generasi Z Tingkat Akhir
Bibliographic record
Abstract
The Quarter-Life Crisis (QLC) phenomenon is increasingly prevalent among Generation Z, especially college students entering the final stages of their studies. The transition to adulthood, combined with academic pressures, social demands, and future uncertainty, makes individuals vulnerable to identity confusion, anxiety, and feelings of failure. This study aims to uncover the psychological condition of a final-year college student exhibiting QLC symptoms through a psychodiagnostic approach. Using a qualitative single case study method, this study collected data through non-participatory observation and in-depth interviews with a 23-year-old male subject who exhibited typical signs of QLC. Additionally, other psychological symptoms such as low self-esteem, decreased motivation, and a tendency to withdraw from social circles were also found. These findings indicate that QLC is not merely a temporary psychological phenomenon but has the potential to disrupt psychosocial functioning if not addressed appropriately
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
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".