Quarter-life crisis: Personal growth initiative as a moderator of uncertainty intolerance in psychological distress
Bibliographic record
Abstract
Quarter-life crisis is a psychosocial crisis in which individuals are vulnerable to experiencing psychological distress. One contributor to such distress is uncertainty intolerance, while personal growth initiative is a factor that can reduce it. This study examines Personal Growth Initiative (PGI) in determining the effect of uncertainty intolerance on psychological distress in individuals experiencing a quarter-life crisis. A total of 309 participants were selected through a screening process using the Quarter-life Crisis Questionnaire. The participants completed the Intolerance of Uncertainty Scale, General Health Questionnaire-12, and Personal Growth Initiative Scale. Moderation regression analysis was performed using the Hayes PROCESS Macro. The results indicate that personal growth initiative buffers the effect of uncertainty intolerance on psychological distress in individuals experiencing a quarter-life crisis (B = -0.193, p = .003, R2 = .117), but with differences shown based on age and gender categories. Based on the findings, it is necessary to build personal growth initiative skills, which will assist individuals in achieving and maximizing their potential and adapting well when faced with conditions of uncertainty.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.004 | 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".