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Record W2621725523 · doi:10.3138/jcfs.46.1.105

Changes in Brideprice Payments in Christian and Muslim Villages of Kenya

2015· article· en· W2621725523 on OpenAlexvenueno aff
An‐Magritt Jensen

Bibliographic record

VenueJournal of Comparative Family Studies · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicDemographic Trends and Gender Preferences
Canadian institutionsnot available
Fundersnot available
KeywordsFocus groupPaymentGender studiesSociologySocioeconomicsPower (physics)Qualitative researchQualitative propertyPopulationDeveloping countryDowryEconomic growthGeographyPolitical scienceDemographySocial scienceEconomicsLaw

Abstract

fetched live from OpenAlex

By looking at changes in brideprice practice over the last two decades, this article aims at understanding variations in marriage patterns and gender relations in rural Kenya. Attention is given to ways in which changes in brideprice payments impact women’s access to economic resources. The background for such changes in terms of culture and religion on the one hand, and education on the other is examined. The article builds on qualitative studies carried out in Christian villages in Western Province (1988) and Muslim villages in Coast (1990). Returning to the same villages in 2011 insight in continuities and changes is obtained in both areas. With the first round of studies as a background the article underlines present brideprice payments and how these have changed over time. Methods in both rounds are based upon ‘focused biographies’ in which basic demographic information and perceptions of childbearing, marriages and gender relations are collected. Data include in-depth interviews, interviews with key informants and focus groups, comprised of both women and men. The findings show that the burden of brideprice payment is gradually taken over by the younger generation. However, while in the Christian villages the bride has to share the burden, in the Muslim villages she has become a recipient. By this the more educated Christian women in Western remain strongly dependent on their husbands, while less educated Muslim women in Coast have gained some economic power.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.229
GPT teacher head0.415
Teacher spread0.186 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2015
Admission routes1
Has abstractyes

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