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Record W4205318274 · doi:10.5539/jfr.v11n1p23

Study of Knowledge of Breastfeeding Practices in Infants from 0 to 6 Months

2022· article· en· W4205318274 on OpenAlexvenueno aff
Y. P. Adepo, Sandra Soro, B. J. J. Touzou, K. O. Chatigre, Godi Henri Marius Biego, Kouakou Koffi, Celal Katı

Bibliographic record

VenueJournal of Food Research · 2022
Typearticle
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsnot available
Fundersnot available
KeywordsBreastfeedingUdderBreast milkMilk productionMedicineEnvironmental healthFood securityDemographyPediatricsGeographyBiologyAnimal scienceAgricultureMastitisSociology

Abstract

fetched live from OpenAlex

The rate of exclusive breastfeeding from 0 to 6 months in Côte d'Ivoire was 16.67 % in 2014. The objective of this study is to identify the difficulties related to the practice of exclusive breastfeeding of infants from birth to 6 months with a view to finding sustainable solutions for its implementation. A survey study was carried out on a sample of 200 women in the municipality of Bingerville from 7 October 2020 to 7 February 2021. After analysis, the results of the survey show that in the Bingerville locality of Côte d'Ivoire, the difficulties relating to the decline in exclusive breastfeeding are largely linked to the insufficient production of breast milk. The results have made it possible to record some species of food plants. They undoubtedly possess lactogenic properties, which make it possible to cope with the insufficient production of milk in the udder. Thus, after 24 hours, these food plants have made it possible to increase the production of breast milk in the udders intended for infants. The registered food plants will help to ensure the food security of the infant through the improvement of milk production in breastfeeding mothers.

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)0.003
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 score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.191
GPT teacher head0.472
Teacher spread0.282 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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