Determinants of Contraception Use among Female Adolescents in Bangladesh
Bibliographic record
Abstract
The purpose of this study is to examine various socio-economic and demographic factors associated with contraception use among adolescents of Bangladesh. For this purpose, the present study utilizes the nationally representative survey data of Bangladesh Demographic and Health Survey, (National Institute of Population Research and Training (NIPORT), 2009). The cross-tabulation and Logistic regression analyses have been used to estimate the factors affected the use of contraception in Bangladesh. Respondents’ education, their husbands’ education, type of place of respondents, involvement with NGO program, marital duration, age at first marriage, age of respondent, communication between husband and wife, respondent currently working place, number of visits by family planning (FP) field workers and number of living children. Age at first marriage and age of respondents type of place of residence have been found to have significant effect on contraception use by both cross-tabulation and Logistic regression analyses. The study shows that adolescents who have at least one living child are tend to more use of contraceptive methods than those who have no living child.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| 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".