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Record W2157222936 · doi:10.1177/0890334408330449

Maternal Years of Schooling but Not Academic Skills Is Independently Associated With Infant-Feeding Practices in a Cohort of Rural Guatemalan Women

2009· article· en· W2157222936 on OpenAlexaff
Aimee L. Webb, Daniel Sellen, Usha Ramakrishnan, Reynaldo Martorell

Bibliographic record

VenueJournal of Human Lactation · 2009
Typearticle
Languageen
FieldNursing
TopicChild Nutrition and Water Access
Canadian institutionsUniversity of Toronto
FundersEunice Kennedy Shriver National Institute of Child Health and Human Development
KeywordsCohortBreastfeedingDemographyInfant feedingCohort studyMedicinePsychologyBreast feedingDevelopmental psychologyPediatricsSociology

Abstract

fetched live from OpenAlex

The effects of maternal academic skills on infant-feeding practices are not clear. From 1996 to 1999, the authors collected information on infant-feeding practices from birth on infants born to 279 mothers from 4 rural villages in Guatemala. They examined associations between maternal academic skills and indicators for the initiation of exclusive breastfeeding (EBF) and timely introduction of complementary foods (CF). Mothers in the highest category of academic skills had greater odds of initiating EBF, but this association failed to remain significant after adjusting for schooling. Compared with mothers with < 1 year of school, mothers with > 3 to <or= 6 years had greater odds of initiating EBF; mothers with > 6 years of school had greater odds of introducing CF early, while mothers with >or= 1 to <or= 3 years had greater odds of introducing CF late. Unmeasured schooling-related factors influenced infant-feeding practices to a greater extent than academic skills.

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 score0.017
Threshold uncertainty score0.382

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.316
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

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

Citations16
Published2009
Admission routes1
Has abstractyes

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