PENGARUH QUARTER LIFE CRISIS TERHADAP KUALITAS HIDUP PADA MAHASISWA TINGKAT AKHIR
Bibliographic record
Abstract
University students often feel feelings such as anxiety, fear and worry about what will happen to the life they will live, this is caused by a lot of pressure, such as feeling confused, panicked and even stressed. This is because they are at a transitional age from adolescence to adulthood. At this age, with this condition, it can be said to be the Quarter Life Crisis phenomenon, with this condition it will affect their quality of life. The aim of this research is to determine the effect of the Quarter Life Crisis on the quality of life of final year students. This research used quantitative methods with 301 male/female criteria as subjects who were undergoing their final assignment or thesis. \nData were analyzed using simple linear regression analysis. The instruments used were the Quarter Life Crisis scale and WHOQOL-BREFF (World Health Organization Quality Of Life BREFF). The research results showed that the Quarter Life Crisis had a negative and significant effect on the quality of life, indicated by the sig value. 0.000 which means <0.05 indicates a significant value between variables and with an R value of -0.604 and R square with a value of 0.365.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".