The Use of Withdrawal among Birth Limiters in Iran and Turkey
Bibliographic record
Abstract
Despite a decline infertility, an increase in contraceptive prevalence, and a wide expansion of family planning programs in Iran and Turkey, a large proportion of "birth limiters" rely on withdrawal to avoid pregnancy. Adopting a comparative approach, this study draws on data from the 2000 Iran DHS and 2003 Turkey DHS to examine the determinants of the practice of withdrawal among birth limiters. Multivariate logistic regression analyses were employed to estimate the likelihood of withdrawal use among two representative samples of birth limiters. Higher education and wealth were associated with greater likelihood of withdrawal use among birth limiters in Iran, while an inverse association was found in Turkey. Older age was positively associated with withdrawal in both countries, whereas having more than four children was inversely related to use. Study results suggest that family planning and reproductive health programs in Iran and Turkey should be aware of the groups that have high rates of withdrawal use, should educate couples in the effective use of withdrawal, and should encourage the use of more effective modern methods and emergency contraceptives when appropriate.
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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 | 0.000 | 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) | 0.001 | 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".