PENGARUH MINAT SOSIAL TERHADAP PERSAHABATAN DITINJAU DARI JENIS KELAMIN PADA REMAJA
Bibliographic record
Abstract
Adolescence is a period of search in self-identity, so that adolescents not only establish relationships with parents but the outside environment also participates in building a search for self identity. In the context of adolescent friendship, social interest can play an important role in forming healthy and meaningful relationships. Therefore, this study aims to determine the relationship between social interest and friendship in adolescents in terms of gender using a quantitative approach. The sampling technique used in this study was Convenience Sampling with the number of research subjects totaling 80 adolescents consisting of 35 males and 45 females. The tool used to measure social interest is the Sulliman Scale of Social Interest (SSSI) and the measuring instrument to measure friendship is the McGill Friendship Questionnaire. The data analysis used is validity and reliability, descriptive statistical test, assumption test (normality test and linearity test), and Moderated regression analysis test. The results of this study indicate that there is an influence of social interest on adolescent friendship. The effect of social interest on adolescent friendship has a positive significant effect. Social interest on adolescent friendship in terms of gender obtained positive results, then significant or influential, meaning that there is an influence of social interest on adolescent friendship in terms of gender.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.005 |
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".