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Record W4400165365 · doi:10.22236/solma.v13i1.14100

Pemberdayaan Dasawisma Melalui Pelatihan Terapi Komplementer Baby Massage di Wilayah Kelurahan Pondok Ranggon Jakarta Timur

2024· article· id· W4400165365 on OpenAlexaff
Riadinni Alita Suroso, Yuli Astuti, Uum Safari, Nova Riani, Dhien Novita Sani, Tatik Setiarini

Bibliographic record

VenueJurnal SOLMA · 2024
Typearticle
Languageid
FieldSocial Sciences
TopicEducation and Character Development
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsMassageMedicine

Abstract

fetched live from OpenAlex

Pendahuluan: Pertumbuhan fisik bayi yang optimal sangat penting. Jakarta Timur mencatat 132.350 kelahiran pada 2023, tertinggi di wilayah lain. Banyak kader dasawisma di sini belum pernah mendapat pelatihan pijat bayi dan sangat tertarik. Oleh karena itu, Prodi DIII Keperawatan Universitas Bhakti Kencana PSDKU Jakarta mengadakan penyuluhan dan pelatihan baby massage. Metode: Kegiatan dilakukan melalui survei wilayah, dialog dengan pejabat, promosi kesehatan, pelatihan baby massage, dan evaluasi. Pelatihan diikuti oleh 20 kader dasawisma. Hasil: Pelatihan meningkatkan pengetahuan dari 7,15 menjadi 9,55 dan sikap dari 32,10 menjadi 35,15. Analisis menunjukkan peningkatan signifikan (p=0.000). Kesimpulan : Pelatihan baby massage meningkatkan pengetahuan dan sikap kader dasawisma di Jakarta Timur. Upaya berkelanjutan diperlukan untuk memastikan dampak jangka panjang, termasuk pengukuran pertumbuhan fisik bayi.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.138

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0410.006

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 head0.026
GPT teacher head0.317
Teacher spread0.291 · 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
Published2024
Admission routes1
Has abstractyes

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