The Factors Associated with Adolescent Marriages and Outcomes of Adolescent Pregnancies in Mardin Turkey
Bibliographic record
Abstract
This document investigated the factors that influenced the adolescents’ early marriages. This was a cross-sectional study. Married women (n = 871), aged 15-49 years were selected from the records of primary health centers in Mardin, a multicultural city in southeastern Turkey. We compared the demographic and fertility data and the outcomes of first pregnancies of women during the adolescence. Analysis revealed that 56.1% of the women married when they are younger than 19 years old, and their mean age at first marriage was 16.11 ± 1.49 years (min: 11 years). A number of social factors influenced the adolescent marriages; these were: rural origin, women’s illiteracy, father’s illiteracy, and the prevalent language used at home. Multivariate logistic regression analysis showed that the risk for adolescent marriage was 1.79 (1.19-2.71) for rural origin women, 3.71 (2.16-6.38) for women with illiterate fathers, and 3.17 (2.17-4.64) for women that spoke Kurdish at home. Consanguineous marriages and marriages without a woman’s consent were also higher in the adolescent married group. Adolescent marriages for women had higher rates of fertility, stillbirth, and child mortality. The study concluded that not only the education level of women, also the men was an important determinant of adolescent marriage. There were many social factors that influenced the occurrence of adolescent marriages and it was an important factor influencing both mother and child mortality.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".