Investigating Male Presence at Antenatal and Choice of Place for Child Delivery in Ghana
Bibliographic record
Abstract
Male involvement in maternal health was introduced to improve and sustain maternal and child health in Ghana. The study utilized the 2014 Ghana Demographic and Health Survey data to investigate the relationship between male presence at antenatal and choice of place of childbirth among 1,167 males, 15-59 years. Descriptive and analytical statistical techniques were applied to the data. The binary logistic regression shows no association between male presence at antenatal and place of delivery (OR = 1.197; 95% CI = 0.808-1.773). However, age (OR = 2.647; 95% CI = 1.221-5.736, OR = 3.046; 95% CI = 1.345-6.896, OR = 3.513; 95% CI = 1.478-8.345), level of education (OR = 4.478; 95% CI = 1.412-14.1990, religion (OR = 0.473; 95% CI = 0.237-0.946), ethnicity (OR = 0.400; 95% CI = 0.182-0.877, OR = 0.425; 95% CI 0.194-0.935), marital status (OR = 5.682; 95% CI = 2.093-15.421, OR = 5.669; 95% CI = 1.448-22.198), place of residence (OR = 7.272; 95% CI = 4.231-12.499), and region of residence (OR = 11.515; 95% CI = 2.785-47.618) of males were found associated with health facility based delivery. Regarding policy to promote institutional delivery among women, these socio-demographic factors identified should be considered.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".