Socioeconomic Differences in Adolescent Sexual and Reproductive Health: Sexual Activity
Bibliographic record
Abstract
Adolescent Sexual and Reproductive Health (ASRH) is one of five areas of focus of the World Bank's Reproductive Health Action Plan 2010 - 2015 (RHAP), which recognizes the importance of addressing ASRH as a development issue with important implications for poverty reduction. Delaying childbearing and preventing unintended pregnancies during adolescence has been shown to improve health outcomes and increase opportunities for schooling, future employment, and earnings (Greene & Merrick, 2005). The key messages relayed in this brief are as follows: Early age at sexual debut puts young people - particularly females - at an increased risk for unplanned pregnancies, sexually transmitted infections, maternal mortality and morbidity; An analysis of data from six countries showed that adolescent sexual activity is closely tied to marital status. In all six countries studied, nearly all ever-married adolescent women have had sexual intercourse, but almost all those never-married have abstained, except in Burkina Faso and Nigeria where less than one quarter of never-married women have had sexual intercourse; The age at sexual debut is also closely linked to age at marriage. Over one third of ever-married women had sexual intercourse before age 15 in Nigeria (38 percent), Bangladesh (37 percent), and Niger (37 percent); In Burkina Faso and Nigeria, sexual activity is lowest among never-married adolescent women with no education (15 percent and 7 percent, respectively).
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.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".