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Community Development Program Arisan Jamban di Dukuh Sebatang, Desa Hargotirto, Kulonprogo

2019· article· id· W2998159754 on OpenAlexaff

Bibliographic record

VenueEKONOMIKAWAN Jurnal Ilmu Ekonomi dan Studi Pembangunan · 2019
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesSociologyArt

Abstract

fetched live from OpenAlex

Dukuh Sebatang sebagai salah satu dukuh yang tercatat memiliki 200 KK (Kepala Keluarga). Dukuh Sebatang dipilih sebagai lokasi pelaksanaan program MI (Menyapa Indonesia) karena dianggap paling membutuhkan bantuan pengembangan masyarakat dibandingkan dukuh lain yang ada di sekitarnya. Hasil survey lapangan tim MI gabungan memperlihatkan bahwa 166 dari 200 KK masih termasuk ke dalam kategori KK prasejahtera. Dalam Upaya membantu meningkatkan kesejahteraan hidup masyarakat di dukuh Sebatang, tim MI Gabungan mencanangkan program pemberdayaan serta pengembangan Dukuh Sebatang yang berorientasi pada empat bidang utama, yaitu bidang kesehatan, ekonomi, pendidikan dan budaya, serta infrastruktur. Penelitian ini ditujukan untuk menjawab bagaimana kegiatan Community Development di bidang Kesehatan oleh Awardee LPDP PK (Persiapan Keberangkatan)-41 bertajuk Menyapa Indonesia dalam program Arisan Jamban di dukuh Sebatang, Desa Hargotirto, Kulonprogo? Penelitian ini menggunakan metode deskriptif kualitatif. Penulis mencari informan melalui teknik snow-ball sampling, observasi dan studi dokumentasi sebagai data sekunder. Hasil dari program ini tercapainya target pembangunan jamban. Melalui program Arisan Jamban masyarakat dapat berperan aktif dalam membangun dan memelihara fasilitas kesehatan berupa jamban yang sehat sehingga kualitas kesehatan masyarakat di dukuh Sebatang semakin mengalami perbaikan dan menuju kemandirian.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.342
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0000.002

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 head0.030
GPT teacher head0.308
Teacher spread0.278 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2019
Admission routes1
Has abstractyes

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