DIGITAL GAME ADDICTİON, SOCIAL ANXIETY AND ALEXITHYMIA IN ADOLESCENTS
Bibliographic record
Abstract
This study was planned as a descriptive study in order to research the digital game addiction, social anxiety, and alexithymia levels of adolescents. This research was conducted with 626 adolescents in the age group of 12-15 years. The data were collected using Descriptive Characteristics Form, DGAS-7 (Digital Game Addiction Scale), SAS-A (Social Anxiety Scale for Adolescents), AQC (Alexithymia Questionnaire for Children). It can be asserted in accordance with the data that digital game addiction level was high in the adolescents who were male, played strategy games, and used internet for more than three hours a day. The adolescents, who were aged between 14-15 years and had high socio-economic level, smartphone, internet in their smartphones, and no health problem, experienced more social anxiety and the adolescents, who had low socio-economic level, a high year-end success score, and health problems, showed more alexithymic personality characteristics.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".