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Record W3173125062 · doi:10.31983/jsk.v3i1.6892

ANALISIS KEJADIAN STUNTING TERHADAP PERKEMBANGAN ANAK USIA 6-24 BULAN

2021· article· en· W3173125062 on OpenAlexaff
Affi Zakiyya, Titin Widyaningsih, Rini Sulistyawati, Jehani Fajar Pangestu

Bibliographic record

VenueJurnal Sains Kebidanan · 2021
Typearticle
Languageen
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsSocializationLogistic regressionIndependence (probability theory)Gross motor skillAffect (linguistics)Environmental healthPsychologyMental healthPublic healthDevelopmental psychologyMotor skillDemographyMedicinePsychiatryNursingSociology

Abstract

fetched live from OpenAlex

Stunting is a condition of a person's height shorter than the height of other people in general (the same age). Stunting will affect physical performance and mental and intellectual functions will be disrupted. Children with stunting are left behind in several aspects of child development including: fine motor, gross motor, speech and language as well as socialization and independence.This study aims to analyze the relationship of stunting with the development of children aged 6 to 24 months in the working area of the Perumnas 2 Public Health Center in Pontianak, Kalimantan Barat. This type of research is quantitative using a cross-sectional approach. The sample in this study consisted of 45 respondents in the are worked community health center Perumnas 2 pontianak. Based on the results of the study it can be concluded that partially the variables associated with stunting are social personal, fine motor, language and gross motor. After a logistic regression test It was found that stunting variables were simultaneously related to child development with a p-value of 0.0001.

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)0.000
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 score0.339
Threshold uncertainty score0.746

Codex and Gemma teacher scores by category

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

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 head0.028
GPT teacher head0.303
Teacher spread0.275 · 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

Citations8
Published2021
Admission routes1
Has abstractyes

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