Abortion Risk and Decisionmaking among Young People in Urban Cameroon
Bibliographic record
Abstract
This study examines the use of induced abortion among Cameroonian adolescents and young women, based on biographical data collected in 1997 among young women and men residing in Yaoundé. Results suggest a high prevalence of abortion during adolescence and early adulthood (35 percent of all pregnancies reported). Although most clandestine abortions were performed by a physician or a nurse, the prevalence of abortion performed by nonmedical personnel or using unsafe methods is still high, and postabortion health complications are reported for about one-fourth of all abortions. Logistic regression models are used to examine the effect of women's, partners', and relationships' characteristics at the time of pregnancy on the odds that a pregnancy will be terminated through abortion. The analysis shows a significant effect of school enrollment, parity, and stability and social acknowledgment of the sexual relationship on the risk of having an abortion. Young men's involvement in decisions and their motivations concerning abortion are also examined.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".