Crossing Borders: SRH Challenges Among Immigrant and Minority Adolescents
Bibliographic record
Abstract
The adolescent years are pivotal in reproductive and sexual development and maturation, yet the experience of migration can severely disrupt this period, inhibiting young immigrants' knowledge, access, and engagement with sexual and reproductive health (SRH) services. Further, young immigrants and minority populations often face persistent intersectional barriers, including language difficulties, cultural stigma, and systemic exclusion, that result in adverse SRH outcomes. Recent advances in SRH care, particularly in digital health and community-based interventions, show promise in improving access to culturally appropriate SRH services and information. Co-designing SRH programs with families and young immigrants to adequately acknowledge the unique cultural norms and barriers in SRH is essential in ensuring a high outreach of interventions. Shifts in traditional health policies are needed to ensure that immigrant and minority adolescents are not overlooked and that SRH programs incorporate culturally relevant content that is easily and widely accessible. Despite positive shifts, several barriers remain: limited disaggregated data on diverse populations, inadequate policy attention, and the insufficient scalability and funding of promising interventions. Future research and promotional efforts must prioritise the co-creation of SRH interventions with stakeholders and affected communities, ensuring that services are sustainable, culturally appropriate, and accessible to all adolescents.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".