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Knowledge and attitude of breast feeding of female students

2023· article· en· W4386393847 on OpenAlexaboutno aff
Dhia Fathel Al -Shaikly

Bibliographic record

VenueTikrit Journal of Pharmaceutical Sciences · 2023
Typearticle
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineBreast feedingPharmacyCurriculumQuarter (Canadian coin)Meaning (existential)Family medicineBreast self-examinationPsychologyMedical educationPediatricsBreast cancerPedagogyInternal medicineGeography

Abstract

fetched live from OpenAlex

To assess knowledge and attitude of college girls, Medicine, Phannacy and Arts in Baghdad City towards breast feeding. Across-sectional study with a random sample of 258 female studies during period of 1994-1998 from girls, medical, pharmacy & art college in Baghdad City, using a self-administered questionnaire. The ages of the females ranged from 18 to 32 years. About 13% of them received some health education about breast feeding. One-quarter reported that they leamed about breast feeding at school. About 4% of students learned from their mothers. Less than half the students in the sample (qOVr) larew the meaning of colosfum. Only 22Yo students gave the right answer about the right time for the first feed. Regarding the frequeniy of breast feeding, one third gave the right answer.The study showed considerable deficiency in the knowledge of the college femalg shrdents about breast feeding. Relevant knowledge and skills about breast feeding should be included in the curriculum of college to prepare them successfirl breast feeding.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.126
GPT teacher head0.477
Teacher spread0.351 · 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
Published2023
Admission routes1
Has abstractyes

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