The contribution of social comparison to quarter life crisis in final year students at Padang State University
Bibliographic record
Abstract
The crisis phenomenon that often occurs among students especially final year students, is the background for this research. The aim of this research is to find out how the contribution of social comparison can influence the level of quarter life crisis in final year students at Padang State University. This study collected 131 subjects. To obtain data, the scale by Hombing & Simarmata (2023) was used to measure the quarter life crisis. Adapting the INCOM scale by Gibbons & Buunk (1999) was carried out to measure social comparisons made by individuals. This study carried out simple linear regression data analysis with the help of the SPSS 24 computer program. The research results showed that social comparison had a positive contribution to the quarter life crisis of 35.1%, meaning that social comparison was able to improve the quarter life crisis in individual final students. This means that it is important for final year students to be able to understand the mechanism by which a crisis arises and how social comparison is able to increase or reduce the crisis situation in order to help individuals manage the crisis they are facing.
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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 | 0.004 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".