Quarter Life Crisis dan Self-Efficacy pada Lulusan Perguruan Tinggi Usia Dewasa Awal yang Menganggur
Bibliographic record
Abstract
Early adulthood after graduating from college is often characterized by confusion that can trigger a quarter-life crisis. This crisis involves challenges in various aspects such as career, relationships, finances, and negative emotions, including the increasing unemployment rate among college graduates. These issues can be addressed from within by increasing self-awareness, a willingness to learn, improving skills, and trying new things. High self-efficacy is necessary to overcome the quarter-life crisis and face life challenges with a positive attitude. The primary goal of this research is to assess the relationship between self-efficacy and the quarter-life crisis among unemployed early adulthood college graduates. The research sample consisted of 115 respondents selected through incidental sampling. Measurement was conducted using Quarter Life Crisis Scale developed by the researcher and General Self-Efficacy Scale (GSES) of Schwarzer & Jerusalem (1995). Data analysis employed the non-parametric Kendall's tau-b test, revealing a correlation coefficient r = -0,325 with p = 0,000. In conclusion, there is a significant negative relationship between self-efficacy and the quarter-life crisis experienced by unemployed early adulthood college graduates. An increase in self-efficacy is followed by a decrease in the quarter-life crisis. Conversely, a decline in self-efficacy is associated with a rise in the quarter-life crisis.High self-efficacy helps individuals identify solutions, take positive steps, and stay focused on life goals, thereby reducing the intensity and impact of the quarter-life crisis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".