A Content Analysis of Youth Sexual Health Websites: Exploring their Relevance and Accessibility for Youth with Disabilities
Bibliographic record
Abstract
Because web-based campaigns are an important part of health promotion campaigns for youth, this research examines sexual health websites aimed at youth and explores the messages on HIV/AIDS for their relevance and accessibility for youth with disabilities. The researchers’ underlying understanding of disability is that it is socially constructed and that people with disabilities experience social exclusion. We used a directed content analysis method to analyze 21 websites that met our inclusion criteria based on our indicators of accessibility and relevance and for their key messages. We found that the messaging across all sites was highly consistent: sex-positive, gay-positive, and non-judgmental about youth sexual expression. However, none of the prevention information specifically considered mobility, verbal and cognitive disability, participation and information barriers faced by youth with disabilities, or their heightened sexual vulnerability. Only one site depicted disability in images and none depicted disability and sexuality. There is a clear need to better understand the sexual health information needs of youth with disabilities and to develop safe sex information that is relevant and accessible to them.
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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 | 0.006 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.010 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| 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".