Spiritual Well Being to Prevent the Quarter Life Crisis over Students in Muhammadiyah Association of Thailand
Bibliographic record
Abstract
Quarter Life Crisis (QLC) is a psychological phenomenon experienced by many individuals aged 20-30, characterized by anxiety, uncertainty, and confusion in determining life direction. This community service program aims to provide training on Spiritual Well-Being as a preventive measure against QLC among students in the Muhammadiyah Association of Thailand. The program integrates Islamic values to help students develop a deeper understanding of spirituality, manage stress, and strengthen resilience in facing life challenges. Using a qualitative descriptive approach, data were collected through observations, in-depth interviews, and documentation. The results indicate that this training significantly enhances students’ spiritual well-being, reduces stress and anxiety, and fosters a sense of purpose in life. Moreover, it contributes to the development of a supportive learning environment that encourages personal and academic growth. This study suggests that spiritual well-being plays a crucial role in helping students navigate QLC, providing a foundation for mental resilience and emotional balance. The findings highlight the importance of integrating spirituality into educational and psychological support systems to better prepare students for adulthood.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".