DINAMIKA HUBUNGAN DUKUNGAN SOSIAL KELUARGA DENGAN QUARTER LIFE CRISIS PADA MAHASISWA S1 UIN SUNAN KALIJAGA ANGKATAN 2019
Bibliographic record
Abstract
At the age of college students, they will be faced with problems such as achievements that must be achieved and determine the direction of life, there are some individuals who feel happy, excited and also challenged in finding a new way of life, but there are also individuals who feel confused when they have to make new decisions in life so that they experience anxiety, stress, and also emptiness. Individuals who are unable to go through this phase well are expected to experience various psychological problems such as indecision and emotional crisis commonly referred to as quarter life crisis. The Emotional crisis in quarter life crisis that occurs in the form of feelings of helplessness, doubtful in one's own abilities, isolation and fear then anxiety about future failures. The occurrence of quarter life crisis in individuals is certainly influenced by several things including social support. \nThis study aims to determine the effect of family social support on the quarter life crisis of UIN Sunan Kalijaga’s undergraduate students class of 2019. This research uses a quantitative approach (quantitative research). The data used in this study are primary data. The data was obtained from questionnaires that had been distributed to UIN Sunan Kalijaga’s undergraduate students class of 2019. The sample in this study were 98 students. This study uses descriptive analysis techniques and regression analysis. The results of this study indicate that there is a significant effect between family social support and quarter life crisis of UIN Sunan Kalijaga’s undergraduate students class of 2019.
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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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".