Sexual and Reproductive Health Needs of Adolescents in Zimbabwe.
Bibliographic record
Abstract
(1) As of 2011, 38% of young Zimbabwean women have had sex by age 18, as have 23% of young men; this difference has widened over time. Females now first have sex nearly two years sooner than males. (2) One-quarter of 15-19-year-old women have started childbearing; one-third of all births to adolescents are unplanned (wanted later or not at all). (3) Favorable trends of rising modern contraceptive use in urban areas were likely interrupted by the worst of the economic crisis in 2008. Use among married adolescents declined in urban areas (from 50% in 2006 to 29% in 2011), even as it rose in rural areas (from 30% to 37%). (4) Patterns in unmet need for contraception followed suit: In urban areas, the proportion of married adolescents who wanted to postpone childbearing but were not using a method rose between 2006 and 2011(from 14% to 28%); among their counterparts in rural areas, unmet need fell from 20% to 15% over this period. (5) Single, sexually active adolescents have by far the greatest unmet need--62% as of 2011, compared with 19% among their married counterparts. (6) Existing policies need clarification to assure that no adolescent is illegally denied services because of age. Youth-friendly sexual and reproductive health programs should be prioritized so today’s HIV-positive adolescents, many of whom have been infected since birth, do not transmit the virus to yet another generation.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".