The Role of Quarter-Life Crisis Toward Personal Growth Initiative in Emerging Adulthood
Bibliographic record
Abstract
Abstract. Many people experiencing quarter-life crisis at the age of 27th, which considered as emerging adulthood phase, which affect the individual’s personal growth initiative. This research was done to see the impact of the quarter- life crisis towards personal growth initiative. The method used for this research is quantitative correlational with the sample of 18-27 years old and domiciled in Surabaya. Data collection was done with an online questionnaire with total of 107 respondents. Most of them are female, with the percentage of 54.2%, and aged 18 years old, with the percentage of 29.9%. Linear hypothesis test showed significant result with p value <0.001, and ꞵ -0.382. It means that quarter-life crisis has negative impacts toward personal growth initiative, meaning a higher quarter-life crisis would lead to lower personal growth initiative. Through this research, individuals are able to understand that quarter-life crisis can affect their personal growth initiative.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".