Bibliographic record
Abstract
The aim of this study was to compare the creativity of students between the different groups of users in the virtual social networks.The methodology of the research was cross-sectional and comparative and collecting data is a kind of survey research.The statistical society of this study consisted of all the students who studied in Tehran Science and Research University in academic years 2016-2017.The available sampling method in this research was 200 individuals.The hypotheses of the research have been studied by using statistical methods of ANOVA.The descriptive results and the analysis of variance totally showed that the creativity of students who have the moderate activity in the virtual network (Group 2 and 3) were more than the students with extreme activity (Group 4) or with too little activity (Group 1).As a result, it can be said that the optimal usage and the amount of moderate time in the virtual social network can have a positive effect on the students' creativity; but the extreme usage of these networks causes to reduce the creativity.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.905 | 0.882 |
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".