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Record W4403073819 · doi:10.3329/bjms.v23i4.76531

Survey of Breastfeeding and Colostrum knowledge and Practices Among Moroccan Women: a hospital-based study

2024· article· en· W4403073819 on OpenAlexaff
Hicham Khabbache, Driss Ait Ali, Hannane El Ghouate, Nicola Luigi Bragazzi, Kawtar Khabbach, Joël Candau, Amelia Rizzo, Francesco Chirico

Bibliographic record

VenueBangladesh Journal of Medical Science · 2024
Typearticle
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsYork University
FundersAgence Nationale de la RechercheEuropean Commission
KeywordsMedicineBreastfeedingColostrumObstetricsFamily medicineNursingPediatricsImmunology

Abstract

fetched live from OpenAlex

Objective In this study, our aim was to explore the knowledge and practice of breastfeeding and colostrum among Moroccan women. Material and methods this is a cross-sectional study. Data was collected from a sample of 100 Moroccan women through a 16-question questionnaire. Results and discussion The results revealed that a significant portion (74%) of the sample, had already made the decision to breastfeed before their pregnancies. Additionally, an overwhelming majority, 98% of the participants, fed their newborns with colostrum, reflecting a widespread acceptance and understanding of its importance with only a small minority opting for alternative feeding methods. Conclusion To promote better breastfeeding practices, it is crucial to address the knowledge gaps through targeted educational interventions that emphasize the importance of colostrum and provide accurate information particularly among women and expectant mothers. Bangladesh Journal of Medical Science Vol. 23 No. 04 October’24 Page : 1159-1167

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)0.012
metaresearch head score (Gemma)0.008
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 score0.076
Threshold uncertainty score0.903

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.034
GPT teacher head0.367
Teacher spread0.333 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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