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Record W3045065711 · doi:10.1111/jomf.12704

Women's Marital Experiences Following Premarital Fertility in <scp>Sub‐Saharan</scp> Africa

2020· article· en· W3045065711 on OpenAlexaff
Emily Smith‐Greenaway, Alissa Koski, Shelley Clark

Bibliographic record

VenueJournal of Marriage and the Family · 2020
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsMcGill University
Fundersnot available
KeywordsFertilityPolygynyPremarital sexDemographyChildbirthPopulationPregnancyPsychologySociologyBiology

Abstract

fetched live from OpenAlex

Abstract Objective The aim of the study was to offer a descriptive overview of the stability and quality of marriages formed by women following premarital fertility in contemporary sub‐Saharan Africa. Background Premarital sex and fertility rates are high in many sub‐Saharan African countries, yet we know little about how premarital childbirth, or even premarital conception, corresponds with women's subsequent marital outcomes. For instance, it is unknown whether premarital fertility is associated with forming unions that are less stable, polygynous, or more violent. Method We analyze Demographic and Health Survey data for 25 sub‐Saharan African countries to describe women's marital experiences following a premarital pregnancy or premarital birth (relative to marital pregnancy and birth). We estimate country‐specific, two‐stage Heckman probit models to understand whether, conditional on having married, premarital pregnancy or premarital birth is associated with union instability, and among women currently married, polygyny and intimate partner violence. Results In most countries, unions following a premarital pregnancy or premarital birth were less stable relative to unions in which pregnancy occurred only after marriage. Premarital births were also associated with a higher likelihood of entering a polygynous union, especially in West and Central African countries, as well as a greater likelihood of being in a physically violent union, particularly in East and Southern African countries. Conclusion The associations between premarital fertility and women's subsequent marital experiences raise questions about the broader health and life course implications for the women and children involved.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.447
Threshold uncertainty score0.297

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 head0.016
GPT teacher head0.237
Teacher spread0.220 · 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
Published2020
Admission routes1
Has abstractyes

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