Inter-Spousal Communication on Family Planning and Its Effect on Contraceptive Use and Method Choice in Bangladesh
Bibliographic record
Abstract
Inter-spousal communication is largely influenced to couples on contraceptive use and the decision of appropriate method choice. This paper examined the effects of inter-spousal communication on contraceptive use and method choice in Bangladesh. A total 451 married men aged 15-49 were interviewed from Narsingdi municipality, Bangladesh. Bivariate analysis as chi square test was applied to examine the relationship between spousal communication as well as other socio-demographic variables on contraceptive use. Binary logistic regression was applied to examine the effect of spousal communication on contraceptive use and multinomial logistic regression was applied to examine the effect of spousal communication on method choice. Binary logistic regression showed that inter spousal communication on family planning has strong positive effect on current contraceptive use and multinomial logistic regression showed that inter spousal communication has positive effect on choosing modern and tradition method than none using any method. However, age of husband, age of women, number of living children, media exposure, knowledge on contraception, husband and women occupation, and couple’s income were also associated with contraceptive use and method choice in Bangladesh.
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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 | 0.001 | 0.004 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".