QUARTER LIFE CRISIS TERHADAP MAHASISWA STUDI KASUS DI FAKULTAS KEGURUAN DAN ILMU PENDIDIKAN UNIVERSITAS PGRI MAHADEWA INDONESIA
Bibliographic record
Abstract
The stages of human development have their respective complex problems. A person's maturity develops over time and becomes a necessity for individuals to pass the transition process. This often leads to crises and problems within the individual. Yudrik Yahja (2011) in his book entitled Psikologi Perkembangan said that adulthood is the longest period after childhood and adolescence; this period is the period when a person must let go of his/her dependence on parents and start learning to be independent because he/ she already has a new task and role. Developmental tasks in early adulthood must be optimized properly because if it is not, it will be a boomerang for the individual in the future. Quarterlife crisis is a phenomenon that usually occurs in individuals between the ages of 20-30 years; this period is known as emerging adulthood. At this stage of development, individuals experience many changes and demands from their environment as a sign of the transition period from adolescence to early adulthood (emerging adulthood). The discrepancy between the ideal self and the real situation of the individual results in quarterlife crisis. In this condition the individual will feel worries, doubts, does not have a strong motivation, even fear of how the future will be. This study aims at determining the quarterlife crisis in students of the Faculty of Teacher Training and Education, University of PGRI Mahadewa Indonesia. This study is descriptive qualitative research with non-random method. The subjects in this study were the students of the Faculty of Teacher Training and Education, University of PGRI Mahadewa Indonesia aged about 20-30 years old.
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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 | 0.001 | 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) | 0.005 | 0.001 |
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".