Correlates of Spousal Communication on Fertility and Family Planning among The Yoruba of Nigeria
Bibliographic record
Abstract
The paper examines the correlates of husband-wife communication on fertility and family planning among the Yoruba-speaking people of south-western Nigeria. The study was undertaken in Ogbomoso and Iseyin towns in Oyo State, and both quantitative and qualitative data were collected. The results reveal that husband-wife discussion about reproductive issues is fairly high in the study areas, with 59.2 percent and 66.4 percent of couples reporting spousal communication on family size and family planning respectively. The logistic regression models indicate that differences in spousal communication on desired family size and contraceptive use are associated with personal attributes such as demographic and social backgrounds of individuals and couples, including spousal age gap, joint educational attainment, religious affiliation of partners, type of marriage, frequency of couples’ exposure to radio and television as well as association membership. The major obstacles to spousal communication on fertility-related issues are cultural opposition and ignorance about modern norms and values.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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".