Social Support and Self Disclosure Linked to Lower Quarter Life Crisis
Bibliographic record
Abstract
General Background: Early adulthood is a transitional phase involving identity formation, career preparation, and psychological adjustment. Specific Background: Fresh graduates often face emotional uncertainty and life decision challenges associated with quarter life crisis. Knowledge Gap: Empirical studies rarely examine social support and self disclosure simultaneously as correlational predictors of quarter life crisis among fresh graduates. Aims: This study examined relationships between social support and self disclosure with quarter life crisis among fresh graduates aged 22–24 years in Sidoarjo. Results: Using a quantitative correlational design with purposive sampling, 270 participants were analyzed through multiple linear regression. Significant negative correlations were found between social support and quarter life crisis (r = −0.594, p < 0.001) and between self disclosure and quarter life crisis (r = −0.530, p < 0.001). Simultaneous testing showed significant association (F = 88.469, p < 0.001), with both predictors explaining 39.9% of variance. Most participants demonstrated moderate levels across measured variables. Novelty: This study integrates interpersonal support and personal openness within a single regression analysis focusing on fresh graduates. Implications: The findings highlight the relevance of interpersonal networks and personal openness in psychological support strategies for early adulthood transition among fresh graduates. Highlights: Correlation Testing Demonstrated Significant Inverse Coefficients Across Both Predictor Variables. Majority of Participants Were Classified Within Moderate Psychological Transition Levels. Combined Predictors Accounted for 39.9% of Variance in Emotional Transition Outcomes. Keywords: Quarter Life Crisis, Social Support, Self Disclosure, Fresh Graduates, Multiple Regression
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".