Çorum Ili Bir Saglik Ocagi Bölgesinde Yasayan Evli Kadinlarda Dogurganlik ve Etkileyen Faktörler
Bibliographic record
Abstract
Objective: The purpose of the study is to evaluate the fertility levels of the married women aged 15-49 with the influincing factors who were living in the responsibility area of Mimar Sinan Health Unit at the centrum of Çorum. Methods: This cross-sectional study includes 280 women who were selected by stratified random sampling method. Data were collected by administering a face to face questionnaire during April-May 1997. Data analysis was done by SPSS using nonparametric statistical tests. Results: The mean age of the women was 32.0 and 71% of whom completed primary school. The mean age at first marriage was 17.7, mean number of pregnancies is 3.7, mean number of children ever born was 2.8 and mean number of abortions was 0.75. Three quarter of the abortions were induced. Age of the women, age at first pregnancy, education level of woman and her husband were found to be the most important factors in performing four and more live births by using logistic regression analysis. Conclusion: Fertility indicators of the sample group were lower than the indicators reported in 1990 Baseline Survey and 1995 Evaluation Survey conducted on women living in Çorum. Keywords: Women Health, Fertility, Abortion, Demography
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.007 | 0.001 |
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".