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  Does bride price harm women? Using ethnography to think about causality (advance online)

Brandl, E., & Colleran, H. (2024). Does bride price harm women? Using ethnography to think about causality (advance online). Evolutionary Human Sciences. doi:10.1017/ehs.2024.21.

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Brandl_Bride_EvolHumSci_2024.pdf (Publisher version), 2MB
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Brandl_Bride_EvolHumSci_2024.pdf
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 Creators:
Brandl, Eva1, Author                 
Colleran, Heidi1, Author                 
Affiliations:
1Lise Meitner Research Group BirthRites - Cultures of Reproduction, Max Planck Institute for Evolutionary Anthropology, Max Planck Society, ou_3164444              

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Free keywords: Marriage; brideprice; gender; ethnography; Melanesia
 Abstract: Many institutions claim that bride price – where the groom's family transfers wealth to the bride's family at marriage – harms women. Due to its long-term engagement with communities that practice bride price, ethnography is well-placed to identify causal mechanisms at play in this issue, and there is a substantial literature on its effects. Here, we condense this literature, drawing out key causal arguments made about brideprice in various Melanesian societies. This reveals a complex, multi-causal picture: rather than being singularly harmful, bride price may involve a mixture of drawbacks and benefits, making it a double-edged sword with contested implications. Bride price may constrain women's options before and during the marriage but also serve as a safety net that enhances their status. Its effects are likely influenced by many other variables, including age, kinship networks, and residence structures. These dynamics have been transformed by conversion to Christianity, the (post-)colonial state, market integration, urbanization, and formal education, often yielding ambiguous outcomes. Rather than reducing it to a collection of datapoints, we show that ethnography can serve as a source of verbal arguments that can be used to challenge reductive narratives about sensitive issues and to formulate hypotheses for testing with quantitative data.

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 Dates: 2024-05-03
 Publication Status: Published online
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 Rev. Type: Peer
 Identifiers: DOI: 10.1017/ehs.2024.21
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Title: Evolutionary Human Sciences
Source Genre: Journal
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISSN: 2513-843X