Bibliographic record
Abstract
In today's world, with the expansion of social networks, a new combination of communication applications has been created.The purpose of this study was to investigate the relationship between the rate and the manner of using virtual social networks and mental health and social intimacy in two groups of students with high and low academic performance.This research is a descriptive and correlational study.A sample of 275 third-grade high school female students was selected and then completed the questionnaires on the rate and the manner of using social networking, General Health Questionnaire and Miller's social intimacy.It was also found that there is a relationship between the variables of the rate and the manner of using social networks in two groups of students with high and low academic performance and mental health and social intimacy.The findings of the present study indicated that the excessive use of social networks causes people to distance themselves from the real world and bring them back to virtual groups to compensate.Living in the virtual world can put mental health at risk.However, due to reduced distance and cost-effectiveness, and as a result of increased communication between people, social intimacy increases.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.946 | 0.890 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".