Mobilizing Transdisciplinarity to Address the Good Versus Bad Dichotomy: Thinking Critically About Current and Future Youth Social Media, Peer Relationships, and Mental Health Research
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
North American rates of adolescent social media use hover between 98 and 100%, with 45% of adolescents reporting being online “almost constantly”. Despite its prevalence, social media use is also controversial. If social media is now woven into the fabric of social interactions, what are the mental health implications for youth growing up in “a digital age”? This paper discusses the potential applications of transdisciplinarity by considering the question in three ways: first, the polarized research is presented, suggesting that social media has the power to either positively or negatively direct youths’ social and psychological trajectories; second, the dichotomy is challenged; and third, transdisciplinary applications are considered. As a complex, novel, and nuanced topic, the study of social media, peer relationships, and mental health demands a paradigm that is able to accommodate complexity, nuance, and novelty in a critical, reflexive and meaningful way. Transdisciplinarity presents scholars an opportunity to tackle this challenge. This paper discusses the prevailing research surrounding social media, peer relationships, and mental health to challenge the good/bad binary and lay the foundation for approaching this topic from a transdisciplinary lens in future research.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 it