Self-disclosure (Keterbukaan Diri) dan Quarter-life Crisis (Krisis Seperempat Abad) Mahasiswa Psikologi
Bibliographic record
Abstract
Introduction: Quarter-life crisis is an individual who enters the period of emerging adulthood without stopping questioning the future, confused in dealing with problems, and reflecting a lot on the past to see whether his life up to now is in accordance with the life he dreamed of. This crisis is most intense in their twenties and often occurs in someone who is in the transition phase from education to the next career level, for example, a final year student. Therefore, it is necessary to find a way to reduce the negative impacts that arise, which is by knowing more about the situation that being experienced by self disclosure. This study aimed to determine whether there is a relationship between self-disclosure and quarter-life crisis in final year students. Methods:This research was observasional analytics with cross-sectional design. Subject in this research was psychology student at UNS in year 2018, amounted to 46 people who met the inclusion and exclusion criteria. Sampling was done by pusposive sampling technique. The level of self-disclosure was measured by filling out the Self-disclosure questionnaire, while the degree of quarter-life crisis was measured by the Quarter-life Crisis questionnaire. The data obtained were then analyzed by spearman rank correlation test. Results: This study showed a significant and negative relationship between the level of self-disclosure with quarter-life crisis (sig f=0,049) Conclusions: Based on the results of this study, there was a moderate relationship between the level of self-disclosure and quarter-life crisis on psychology students Universitas Sebelas Maret year 2018, where the higher level of self-disclosure, the lower level of quarter-life crisis.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".