Bibliographic record
Abstract
Communication has always been a basic need for human beings throughout the history. The Internet, which became widespread in the late 20th century, provided new and improved opportunities in communication. Social media, one of these communication opportunities, has become an indispensable means of communication. The aim of the current research is to determine which social media accounts the middle school students use and why they use social media. The sampling of the study is comprised of 211 students attending a state middle school in Turkey. In the current study, the participating students were asked to write an authentic composition with the title “use of social media” and the collected data in this way were analyzed by using the content analysis method. According to the results obtained in the current study, it can be argued that the participating children are aware of the negative effects of the use of social media on their social life, academic achievement and health. However, despite these negative effects, they find it difficult to keep themselves away from social media. According to the participating students, social media is a harmful communication tool that makes it easy to get information and news, is entertaining, addictive and not suitable for children.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".