Tindakan Refleksif Mahasiswa Tingkat Akhir dalam Menghadapi Quarter Life Crisis
Bibliographic record
Abstract
This research focuses on the quarter-life crisis problem caused by having finished studying at university but being confused about choices for the future, also due to demands from the surrounding environment regarding the economic sector and also due to academic stress. The more often you experience pressure, the more likely an individual will start to develop negative emotions and views of themselves. Final-year students often experience negative feelings such as confusion, insecurity about their own abilities, and feelings of depression and loss of hope for the future. The aim of this research is to analyze the reflexivity of final-year students in facing the quarter-life crisis. This research uses descriptive research methods with a purposive selection of informants analyzed using Ulrich Beck's Risk Society theory. The quarter-life crisis that final-year students are at risk of experiencing is influenced by awareness of the future, which causes feelings of anxiety, overload, feeling burdened, and feeling left behind by others. Then, the research results also show that to face risks in the future, final-year students carry out reflexivity by improving their skills and also participating in organizations, training, or internships. Social class is also a supporting factor for student reflexivity, but not the main one. Because they have unlimited access, the upper and upper middle classes have better opportunities for reflexivity than the lower and lower middle classes. And social support is also very necessary when final-year students practice reflexivity.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 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".