DUKUNGAN SOSIAL DAN QUARTER LIFE CRISIS PADA MAHASISWA DENGAN LATAR BELAKANG ORANG TUA BERCERAI
Bibliographic record
Abstract
Students with divorced parents in addition to having academic demands are also less able to develop secure attachments as early adults. Meanwhile, in early adulthood, individuals are faced with new responsibilities and developmental tasks so that they are vulnerable to experiencing a quarter life crisis where one of the underlying factors is related to demands from the environment. Social support can be a barrier to stress symptoms during stressful events. The purpose of this study was to determine the relationship between social support and quarter life crisis in college students with divorced parents. The study used a correlational quantitative approach with 192 participants. The research subjects were taken using purposive sampling technique with the criteria that the students were male or female, aged 18-25 years, having parents divorced when they were in their teens (13-18 years). The research instrument consisted of the Multidimensional Scale of Perceived Social Support (MSPSS) and the Quarter Life Crisis scale. Data analysis using Pearson Product Moment correlation. The results showed that there was a negative relationship between social support and quarter life crisis in students with divorced parents (r = -0.342; p 0.000 <0.05). So the higher the social support, the lower the quarter life crisis for students with divorced parents or vice versa.
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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 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.013 | 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".