Social Self-Efficacy and its Relationship to Loneliness and Internet Addiction among Hashemite University Students
Bibliographic record
Abstract
The present study investigates the relationship between social self-efficacy, loneliness and internet addiction among Hashemite University students. It defines the level of social self-efficacy, and whether there are statistically significant differences by gender, academic specialization and academic level; and defines the levels of loneliness and internet addiction. The purposive sample consisted of (618) students at Hashemite University. The Social Self-efficacy, Loneliness and Internet Addiction Scales were used. The results show that the level of social self-efficacy was medium, with statistically significant differences in the level of social self-efficacy attributed to students by gender in favor of male students, and in the level of social self-efficacy by academic level in favor of second-year students. The level of loneliness was medium, as was the level of internet addiction. There was a negative correlation between social self-efficacy and loneliness and internet addiction, and a positive correlation between loneliness and internet addiction.
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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 | 0.000 | 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 | 0.000 |
| 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".