Telaah Literatur Sistematis Intervensi Dalam Usaha Meminimalisir Quarter Life Crisis
Bibliographic record
Abstract
Early adulthood is the transition period from adolescence to adulthood. This is a complex transitional phase. There are so many stressors that lead to various difficulties, which cause individuals to feel trapped and lose their way into adulthood. This condition is known as a quarter-life crisis which is a common phenomenon that occurs between the ages of 18 to 30. The purpose of this study is to examine various alternative interventions that can be used to minimize quarter-life crises in early adulthood. The method used in this research is a systematic literature review. Researchers chose 7 out of 13 articles found on the Google Scholar search engine in the 2011-2021 timeframe. Interventions for quarter-life crises are carried out both preventively and curatively. Domination interventions that have been studied by previous researchers are mostly curative. The number of research subjects involved in the study varied from 2 respondents to 531 respondents. The research methods used also vary, both in the form of qualitative and quantitative research (experiments). This shows that research on interventions for quarter-life crises is still developing and open to new findings.
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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.033 | 0.005 |
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".