The relationship between social media addiction levels and alexithymia in young people at home during pandemic process
Bibliographic record
Abstract
This study was conducted to determine the relationship between social media addiction levels and alexithymia in young people who were at home during the pandemic process. The descriptive and cross-sectional study was conducted with 520 young people between 01.01.2021-15.01.2021. Data were collected using a personal information form, Social Media Addiction Scale and Toronto Alexithymia Scale. Kruskal-Wallis, Mann-Whitney U tests and correlation and regression analysis were used to evaluate the data. The total score average of the Social Media Addiction Scale of the youth was 94.65 ± 37.63 and the total score average of the Toronto Alexithymia Scale was 50.04 ± 12.14. It was determined that 44.6% of the Toronto Alexithymia Scale received 51 points. A positive and moderate correlation was found between Social Media Addiction Scale and Toronto Alexithymia Scale (r = 0.463, p = 0.001). Social media addiction was found to affect alexithymia by 21.3% according to the regression analysis. It has been determined that the social media addiction levels of the young people are medium and their alexithymia levels are high. It has been found that there is a significant relationship between social media addiction and alexithymia.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".