MétaCan
Menu
Back to cohort

Family Structure and Child Mortality in Sub‐Saharan Africa: Cross‐National Effects of Polygyny

2007· article· en· W2167132265 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Marriage and the Family · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicDemographic Trends and Gender Preferences
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPolygynySocioeconomic statusResidenceDemographyMultilevel modelEthnic groupLogistic regressionGeographyPsychologyPopulationMedicineSociology

Abstract

fetched live from OpenAlex

This study applies multilevel logistic regression to Demographic and Health Survey data from 22 sub‐Saharan African countries to examine whether the relationship between child mortality and family structure, with a specific emphasis on polygyny, varies cross‐nationally and over time. Hypotheses were developed on the basis of competing theories on the relationship between child health and family structure. Although children of mothers in polygynous marriages are more likely to die than those of mothers in monogamous unions, the relationship is constant across time. Familial factors including education, socioeconomic status (SES), and urban residence accounted for most of the observed cross‐national variation associated with polygyny. Consequently, improving maternal education and household SES would greatly benefit child health in sub‐Saharan Africa.

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.

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)0.003
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 score0.126
Threshold uncertainty score0.227

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.020
GPT teacher head0.294
Teacher spread0.275 · 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