MarriedAdolescentsandFamilyPlanninginRuralEthiopia: Understanding Barriers and Opportunities
Bibliographic record
Abstract
Large numbers of girls in the developing world are married before age 18, an estimated 100 million girls in the next decade. It is assumed that newly married girls are under pressure to have children early in marriage. However, there is increasing evidence that married adolescent girls have significant levels of unmet need for family planning (FP). This qualitative study explores married girls‘ knowledge and demand for FP, as well as barriers and support. Qualitative data was obtained from girls who married as children in rural Ethiopia. Respondents demonstrated a high interest in FP, while the power dynamics within arranged marriages were the biggest factor influencing FP use. Disapproval of FP use was considerable among in-laws and community members; however, partner approval was the main determining factor in girls‘ FP use. Some service providers reportedly reinforced this dynamic; some girls reported that they requested confirmation of the husbands‘ approval of FP use. The findings suggest further investment in addressing social norms related to girls‘ status and voice. (Afr J Reprod Health 2018; 22[4]: 26-34).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".