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Record W4409453916 · doi:10.52060/hmaps.v1i2.1622

Hubungan Pengetahuan dengan Perilaku Hidup Bersih dan Sehat di Rumah Tangga Kecamatan Pasar Muara Bungo, Jambi

2023· article· id· W4409453916 on OpenAlexaff
Mila Mila Wati, Yessy Fitriani

Bibliographic record

VenueJournal of Health Management Administration and Public Health Policies (HealthMAPs) · 2023
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsThe Debajehmujig Creation Centre (Canada)
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

Latar Belakang : Perilaku Hidup Bersih dan Sehat (PHBS) menjadi salah satu program pemerintah yang diharapkan untuk menyelesaikan berbagai penyakit dan masalah kesehatan. Lingkungan bersih dan nyaman akan mengurangi dampak negatif terhadap lingkungan.Subjek dan Metode: Desain penelitian ini menggunakan pendekatan cross sectional. Populasi penelitian ini adalah ibu rumah tangga majelis ta’lim RW 05, Kelurahan Bungo Timur Kecamatan Pasar Muara Bungo. Sampel yang diteliti sebanyak 13 orang dengan menggunakan teknik sampel random sampling. Variabel bebas dalam penelitian ini adalah pengetahuan sedangkan variabel terikatnya adalah perilaku hidup bersih dan sehat. Mengumpulkan data menggunakan kuesioner.Hasil: Tidak ada hubungan yang signifikan tingkat pengetahuan dengan PHBS (Perilaku Hidup Bersih Sehat) di Majelis Ta’lim RW 05, Kelurahan Bungo Timur Kecamatan Pasar Muara Bungo (p=1.000).Kesimpulan: Tidak ada hubungan antara tingkat pengetahuan dengan PHBS (Perilaku Hidup Bersih Sehat) di Kecamatan Pasar Muara Bungo.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0230.003

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 head0.075
GPT teacher head0.374
Teacher spread0.299 · 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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