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Record W4243435361 · doi:10.36418/syntax-idea.v2i1.126

[no title]

2020· article· W4243435361 on OpenAlexaff
Emah Rohemah

Bibliographic record

VenueSyntax Idea · 2020
Typearticle
Language
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsHumanitiesGynecologyPhysicsMedicinePhilosophy

Abstract

fetched live from OpenAlex

Makanan pendampingASI (MP-ASI adalah makanan yang paling penting untuk mencukupi kebutuhan gizi bayi, selain ASI sebagai makanan utama. tingkat pengetahuan yang kurang, ibu bekerja pendaptan rendah, kunjungan ibu ke pelayanan kesehatan yang tidak rutin dapat mempengaruhi pemberian MP-ASI. Tujuan penelitian ini adalah untuk mengetahui hubungan tingkat pengetahuan dan pekerjaan ibu  menyusui dengan pemberian MP-ASI. Metode penelitian ini adalah korelasional dengan pendekatan  cross sectional, sampel di ambil secara simple random sampling sebanyak 72 orang ibu sedang menyusui. Data yang dikumpulkan adalah data primer dengan menggunakan kuisioner terstruktur dan di analisa dengan menggunakan ditribusi frekuensi Chi-square dan Mann-Whitney test. Penelitian dilakukan di wilayah kerja Puskesmas Jalaksana Kabupaten Kuningan. Hasil penelitian ini diperoleh bahwa teradapat  hubungan tingkat Pengetahuan ibu dengan penberian MP-ASI  denagn nilai X2 hitung (7,610)>X2 tabel (3,841) denagn p = 0,006 <α = 0,05, dan ada hubungan pekerjaan ibu dengan pemberian MP-ASI denagn nilai X2 hitung (6,522) >X2  table (3,841) dengan p = 0,011<α = 0,05.   Kata kunci: Pengetahuan, pekerjaan dan pemberian MP-ASI.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.700
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.3000.157

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 head0.047
GPT teacher head0.304
Teacher spread0.256 · 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.

Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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