THE INFLUENCE OF SOCIAL SUPPORT AND SPIRITUALITY WITH QUARTER LIFE CRISIS IN PRISONERS
Bibliographic record
Abstract
Objective: This research aims to determine the relationship between emotional intelligence and self-control in high school/vocational school students who are members of the Youth Information and Counseling Center (PIK-R) organization. Method: This research uses a quantitative approach with a correlational survey design. The research sample consisted of 228 students aged 15-18 years who were active in PIK-R in the last 6 months. The sampling used is purposive sampling. Data was collected using two measurement scales, namely the Emotional Intelligence scale consisting of 30 items with a reliability (α) of 0.813, and the Self-Control Scale consisting of 30 items with a reliability (α) of 0.748. Data analysis was carried out by Spearman's Rho correlation test using SPSS software version 25. Results: The results of the research showed a significant correlation between Self-Control and Emotional Intelligence of High School/Vocational High School Students with PIK-R (r=0.724*** p0.724). There were results that emotional intelligence had an effective contribution to self-control of R2 = 0.525, suggesting that emotional intelligence explained 52.5% of the self-control variance. Novelty: This research aims to determine the relationship between emotional intelligence and self-control in high school/vocational school students who are members of the Youth Information and Counseling Center (PIK-R) organization.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".