Academic Procrastination and Social Anxiety as Predictive Variables Internet Addiction of Adolescents
Bibliographic record
Abstract
This study is aimed to examine the relationship between Internet addiction and academic procrastination and social anxiety. The study group of this research is 599 high school students, 239 (39.9%) female, and 360 (60.1%) male. It is for the Young Internet Addiction Scale, the Academic Procrastination Scale, and the Social Anxiety Scale for Adolescents. The data were analyzed by Pearson Correlation Analysis and Multiple Linear Regression Analysis techniques. According to the findings of the study, positive correlation between internet addiction and academic procrastination and social anxiety shows a significant relationship. In other findings of the study, it was found that academic procrastination and social anxiety predicted internet addiction. According to the findings, the most powerful predictor variable was academic procrastination. Expanding the number of samples in future researches, reaching students from the region and sociocultural level ensures that the findings can be generalized, and more reliable results are obtained.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".