Navigating the Quarter-Life Crisis: Exploring Suffering Self-Transcendence among UIN Sunan Ampel Surabaya Students
Bibliographic record
Abstract
The Quarter Life Crisis phenomenon generally occurs between the ages of 20 and 30, when individuals feel depressed and anxious about their future, including their career, social relationships, and personal life. During this phase, individuals often feel that their lives are controlled by fate and cannot be changed. The concept of suffering in this study is seen as a physical and psychological experience involving mental reactions to external conditions. This study aims to understand the essence of suffering and the process of self-transcendence among UIN Sunan Ampel Surabaya students experiencing the Quarter Life Crisis phase. Using a descriptive qualitative approach, data were collected through in-depth interviews and observations of respondents who met the criteria of age, experience of suffering, and involvement in social organizations. Wong’s Self-Transcendence Theory analyzes how individuals can overcome suffering by focusing on positive aspects of their lives and finding meaning through self-reflection and meaningful activities. The results of this study indicate that suffering experienced during the Quarter Life Crisis can serve as a means for self-reflection and improving the quality of life, as well as helping individuals achieve a higher level of understanding of their life goals and spiritual relationships.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".