Memaknai Penderitaan sebagai Proses Menuju Transendesi Diri: Studi Kasus Anak Muda Fase Quarter Life Crisis di UIN Sunan Ampel Surabaya
Bibliographic record
Abstract
This article explores the significance of suffering as a pathway to self-transcendence, focusing on adolescents navigating the quarter-life crisis phase at UIN Sunan Ampel Surabaya. Employing qualitative research methods, data is gathered through purposive sampling and interviews conducted from January 13-23, 2023. Descriptive analysis is utilized to present field data and insights. The quarter-life crisis marks a challenging transition from adolescence to adulthood, characterized by feelings of insecurity, pessimism, and confusion about the future, impacting various aspects of life. The study employs self-transcendence as a lens to interpret individuals’ experiences of suffering during this phase of uncertainty. Suffering, in this context, emerges as a transformative process wherein individuals learn to transcend their struggles, fostering resilience and acceptance. The findings underscore the importance of maintaining a positive mindset and sincerity in navigating trials, as such perspectives facilitate personal growth and gratitude amidst adversity. Ultimately, experiencing suffering prompts introspection and self-evaluation, leading to enhanced resilience and the acquisition of valuable life lessons.
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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 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| 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".