Socially Marginalized Youths' Experiences with Social Media and its Impact on their Relationships
Bibliographic record
Abstract
Social media use is prevalent among adolescents and young adults. However, little is known about the role and function of social media in the lives of youth who have experienced social marginalization. These youth face different challenges than their mainstream peers when it comes to the development, maintenance and outcomes of their friendships and relationships. It is unknown whether findings on social media and relationships accurately represent the experiences of youth who have experienced social marginalization, given the different challenges they face in achieving belonging and intimacy. Semi-structured interviews with youth regarding their social media use and its impact on their relationships took place at local youth-serving community agencies in a central Canadian city. A content analysis of 11 interview transcripts was performed and 6 themes emerged. Themes included: Prevalence & Preferences; Typical Activities; Negative Influences; Awareness of Risks; Positive Insights and Suggestions; and Break-Ups. Conclusions provide an understanding about how youth experiencing marginalization are using social media, and how programming can be developed to suit their specific mental health needs and concerns.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".