Peran Religiusitas Dan Dukungan Sosial Terhadap Quarter Life Crisis Pada Mahasiswa
Bibliographic record
Abstract
Quarter life crisis is faced by individuals during the transition phase from late adolescence to early adulthood between the ages of 18 and 25 years, if not handled immediately it will cause frustration to depression. The purpose of this study was to examine the role of religiosity and social support on the quarter life crisis of students at the Faculty of Psychology, Faculty of Economics and Business, and Faculty of Law, one of the Private Universities in Surakarta. The sample in this study was 120 students. The sample was selected using a purposive sampling technique according to the criteria, namely active students at one of the PTS in Surakarta, Psychology, Accounting, Management, Development Economics, and Law study programs, class of 2020 - 2022, aged 18 - 23 years. This study uses a quantitative correlational method. The data collection method uses a closed questionnaire. Data collection uses quarter life crisis scale instruments, religiosity scale, and social support scale. Multiple linear regression analysis is used as data analysis. The results of this study show a significant role between religiosity and social support on quarter life crisis so that the major hypothesis is accepted. There is a negative role between religiosity and quarter life crisis so that the first minor hypothesis is accepted. There is a positive role between social support and quarter life crisis so that the second minor hypothesis is not accepted. In terms of categorization, students' quarter life crisis is classified as moderate, religiosity and social support of students are classified as high. Religiosity contributes 13.6% and social support 3.1%. The remaining 83.3% is influenced by other factors such as instability, being self focused, and identity exploration.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.007 | 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".