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Record W2084145177 · doi:10.1080/13557850500460314

Cultural Background and Infant Survival in Ghana

2006· article· en· W2084145177 on OpenAlex
Stephen Obeng Gyimah

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

VenueEthnicity and Health · 2006
Typearticle
Languageen
FieldMedicine
TopicGlobal Maternal and Child Health
Canadian institutionsQueen's University
Fundersnot available
KeywordsEthnic groupInfant mortalityDemographyBivariate analysisMultivariate analysisEtiologyDiseaseMultivariate statisticsSocioeconomic statusPerceptionMedicinePsychologyEnvironmental healthDevelopmental psychologyPopulationPolitical scienceSociologyPathology

Abstract

fetched live from OpenAlex

This study is premised on the hypothesis that ethnic specific socio-cultural practices such as dietary taboos and food avoidances on mothers and infants, as well as perceptions of disease aetiology and treatment patterns may be salient to understanding infant mortality differentials in Ghana. To inform policy, the paper explores if there are significant ethnic differences in infant survival, and whether such differences reflect socio-economic disparities or intrinsic factors. Using data from the 1998 Ghana Demographic and Health Survey, there was evidence of significant ethnic differences in infant survival at the bivariate level. Using Asante mothers as reference, the risk of death was significantly higher among children whose mothers were Mole-Dagbani, Grussi, Gruma, Dagarti, Fanti and Other Akan. In the multivariate models, however, the higher mortality risks associated with these children significantly attenuated after controlling for the socio-economic and bio-demographic factors except for the Fanti. The findings are discussed with reference to the characteristics and cultural theoretical paradigms.

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)0.000
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 score0.046
Threshold uncertainty score0.944

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.064
GPT teacher head0.365
Teacher spread0.301 · 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