“A Cross-Comparative Study of Adolescent Mental Health and Social Media Use in South Korea and Canada”
Bibliographic record
Abstract
In an increasingly digital world, the mental health of adolescents is reflected in their interactions on social networking sites (SNS). As adolescence represents a pivotal transitional period characterized by an increase in social relationships, the impact of the COVID-19 pandemic and its transferal of in-person interactions to online spheres is a crucial component of adolescent mental health in 2022. Where excessive social media using during the lockdowns led to an increase in cyberbullying (highlighted in Canada’s updated criminal code) and eating disorders (explored through mukbang, or ‘escapist eating’ in South Korea), the type of SNS interactions adolescents engage in—comparative social media use and more passive, autonomous enjoyment—are critical to distinguishing between the positive and negative effects of social media on adolescent health. To identify the link between pre, during, and post-pandemic adolescent mental health, this study utilizes a comparative analysis of surveillance and harm within social media consumption in South Korea and Canada. For South Korean and Canadian adolescents, the distinction between active and passive social media use and the degree of online autonomy can define the level of harm to mental stability, emphasizing the importance of autonomous social media consumption in ‘safe digital spaces.’
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".