Lineage norms, bride price-related factors, and intimate partner violence among Ghanaian women
Bibliographic record
Abstract
There is growing research on bride price payment and intimate partner violence (IPV) among women in sub-Saharan Africa, but evidence is mixed, with some studies finding significant links between bride price and IPV, and others not finding links. A major limitation of these studies is the lack of attention to how lineage affiliations (matrilineal, patrilineal, bilateral) can influence bride price-related factors and IPV. This paper examines links between bride price-related factors and IPV across lineage groups among women in Ghana. The study used data from 1,111 currently married Ghanaian women from three main ecological areas. Binary logit models were used to examine the effects of bride price-related factors on IPV for matrilineal, patrilineal, and bilateral women. Results show Patrilineal women were more likely to experience physical, sexual, and emotional violence when bride price was paid in full than partially. Matrilineal and bilateral women only experienced emotional and physical abuse when bride price was paid in full. Patrilineal women who believed their male partners owned them because of bride price were less likely to experience all IPV types. Although other factors are important to understand the high prevalence of IPV in patrilineal women, bride price-related factors provide a useful explanatory pathway.
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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 | 0.000 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".