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Record W2138644935 · doi:10.1177/0192513x070280050401

Matrilineal Family Ties and Marital Dissolution in Ghana

2007· article· en· W2138644935 on OpenAlexaff
Baffour K. Takyi, Stephen Obeng Gyimah

Bibliographic record

VenueJournal of Family Issues · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicDemographic Trends and Gender Preferences
Canadian institutionsQueen's University
Fundersnot available
KeywordsKinshipSociocultural evolutionPsychologyDemographic economicsSocial psychologyMarital statusDevelopmental psychologyDemographySociologyPopulationEconomics

Abstract

fetched live from OpenAlex

Although previous work has attributed the instability of African marriages to the diffusion of Western norms and values in the region, fewer attempts have been made to empirically assess how Africa's internal institutional structures, such as extended kinship ties, impact marital outcomes. Guided by rational choice and exchange theories, we argue that the strong bonds that exist among matrilineal family members in particular, rather than within the conjugal unit, may be important to understanding the dynamics of marital processes in the region, and particularly divorce processes. We test our hypothesis with data from the 1988, 1993, 1998, and 2003 Ghana Demographic and Health Surveys. Consistent with our hypothesis, the results indicate a significantly higher risk of divorce among matrilineal than nonmatrilineal women. The matrilineal effect persisted even after we controlled for sociocultural and demographic characteristics.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.020
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.051
GPT teacher head0.357
Teacher spread0.306 · 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 source (direct Gemma or distilled Codex), 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

Citations91
Published2007
Admission routes1
Has abstractyes

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