Interpersonal communication and contraception: Insights and evidences from Bangladesh demographic and health survey, 2011
Bibliographic record
Abstract
This paper examines the role of exposure to mass media and interpersonal communication in predicting the current use of contraception in Bangladesh. Bivariate and multivariate analyses were carried out using the Bangladesh Demographic and Health Survey (BDHS), 2011 data to explore the association between communication and the current use of contraception. After adjusting the related socioeconomic and demographic factors, the mass media did not seem to have any role in predicting contraceptive use behavior while the findings revealed that interpersonal communication [prevalence ratio (PR): 1.0984, 95% confidence interval (CI) 1.0801-1.1170] is a strong positive predictor of the current contraceptive use. It is a well-known fact that mass media performs only the knowledge function while interpersonal communication performs an additional function of persuasion. This analysis corroborates the statement that the role of interpersonal communication is quite important in predicting contraceptive use.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".