The Paradox of Quarter-Life Crisis: A Critique of Generational Alienation and Qur'anic Value-Based Solutions
Bibliographic record
Abstract
This study aims to examine the paradox of the Quarter Life Crisis (QLC) as a critique of the alienation of the young generation in the Society 5.0 Era while offering solutions based on Qur'anic values, with a case study in Gorontalo Province. The method used is qualitative with primary, secondary, and tertiary data sources. A survey of 82 respondents revealed that more than 40% experienced high-frequency QLC, which is related to social pressure and the development of digital technology. The three main indicators of QLC include self-identification that is often experienced, dominant worries about career (35.4%), mental health, life goals, and the significant influence of digital technology (89.1%). The qualitative analysis reinforces that digital advances bring new complexities to the lives of the younger generation, while weak spiritual resilience and understanding of religious values exacerbate the condition of QLC. This study reconstructs the verses of the Qur'an and the main interpretations to offer solutions through three important awareness: (1) Cognitive Awareness, (2) Skills Awareness, and (3) Disposition Awareness. This approach emphasises internal transformation that is in line with the principle of amar ma'ruf nahi munkar. Surah Ar-Ra'd verse 11 becomes a strategic foothold, emphasising that changes in external conditions must begin with changes in oneself. Tafsir Al-Mishbah, Al-Qurthubi, and Al-Azhar reinforce the importance of mental attitude, effort, and self-awareness in facing QLC. Thus, spiritual strengthening and character based on Qur'anic values are the key to overcoming the identity crisis and emotional pressure of the younger generation in the Society 5.0 Era.
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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 | 0.015 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.075 |
| Scholarly communication | 0.008 | 0.011 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.005 | 0.007 |
| 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".