The Effect of Mindfulness and Loneliness on Sense of Purpose in Individuals in the Age of Quarter Life Crisis
Bibliographic record
Abstract
Sustainable Development Goals (SDGs) represent a global effort to achieve sustainable prosperity for all, with a strong focus on the quality of the next generation, particularly the youth. The future of a nation is closely tied to the quality of its young population. Early adulthood is a crucial period for determining career paths and life goals, which directly impact personal development and self-quality. One of the critical challenges faced during this period is the quarter life crisis (QLC), characterized by confusion over life purpose. In Indonesia, data shows that more than half of youth experience QLC, typically occurring between the ages of 18 and 35. This study aims to explore the factors influencing a sense of purpose to offer effective strategies for addressing the quarter life crisis. The research was conducted using a quantitative approach with non-probability sampling and survey methods. The sample consisted of 196 respondents (71.7% female and 28.3% male). Data analysis was performed using multiple linear regression with the assistance of SPSS version 8.0 software. Results revealed that mindfulness and loneliness have a significant impact (p<0.05) on the sense of purpose in individuals experiencing QLC, with an R-squared value of 0.090, indicating a 9% influence. These findings highlight the need for targeted counseling and psychological support services to address the quarter life crisis. Providing counseling that focuses on enhancing mindfulness and reducing loneliness can help individuals strengthen their sense of purpose, ultimately enabling them to navigate this challenging life stage more effectively.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".