The Relationship between Psychological Well Being and Quarter Life Crisis
Bibliographic record
Abstract
Early adulthood is a phase where individuals will experience various demands and challenges from the environment. An individual's inability to overcome demands and challenges gives rise to feelings of anxiety, confusion, anxiety and an emotional crisis or quarter life crisis. The onset of a quarter life crisis is influenced by the individual's level of psychological well-being. This research aims to determine the relationship between psychological well being and quarter life crisis. The sampling technique uses non-probability sampling with the incidental sampling method. The sample in this study consisted of 450 people aged 20-29 years. Data collection was carried out using two research instruments, namely the psychological well being scale and the quarter life crisis scale. Hypothesis testing using product moment correlation analysis. The research results show that there is a significant negative relationship between psychological well being and quarter life crisis, r = -0.764 (p = 0.000). This means that the higher the psychological well-being, the lower the quarter life crisis, and vice versa. The research results also show that women have a higher quarter life crisis compared to men. Meanwhile, men's scores on psychological well-being are higher than women's. The conclusion is that early adult individuals can optimize their psychological conditions so they are able to face the quarter life crisis phase well.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".