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Record W4212871769 · doi:10.31219/osf.io/ucm5r

Partisipasi Masyarakat Dalam Musrembang Di Desa Tonrongnge Kecamatan Baranti Kabupaten Sidenreng Rappang

2021· preprint· id· W4212871769 on OpenAlexaff
Nabilah Nabilah

Bibliographic record

Venuenot available
Typepreprint
Languageid
FieldSocial Sciences
TopicLocal Governance and Development
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Tujuan penelitian untuk mengetahui partisipasi masyarakat desa dalam penyusuan rencana pembangunan desa Tonrongnge dapat menjadi salah satu tolak ukur sejauh mana desa tersebut mengembangkan nilai-nilai tata kelola pemerintahan desa yang baik dalam roda pemerintahanya. Partisipasi masyarakat dalam Musyawarah Perencanaan Pembangunan (Musrenbang) di Desa Tonrongnge Kecamatan Baranti Kabupaten Sidenreng Rappang. Jenis pengumpulan data ini adalah metode deskriptif dengan pendekatan kualitatif. Populasi penelitian ini adalah seluruh masyarakat di Desa Tonrongnge Kecamatan Baranti Kabupaten Sidenreng Rappang dan sampel yaitu masyarakat yang dianggap banyak mengetahui terhadap masalah yang dihadapi dan diharapkan agar responden yang dipilih mewakili populasi yaitu 94 orang. Penelitihan ini menunjukkan bahwa Pastisipasi Musyawarah Dalam Perencanaan Pembangunan (Musrenbang) di Desa Tonrongnge Kecamatan Baranti Kabupaten Sidenreng Rappang berada pada kategori baik, partisipasi masyarakat dalam musyawarah perencanaan pembangunan berada pada kategori sangat baik, dan Faktor-faktor yang mempengaruhi peranan pemerintah desa dan partisipasi masyarakat dalam Musyawarah Perencanaan Pembangunan berada pada kategori baik .

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.234
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.034
GPT teacher head0.287
Teacher spread0.253 · 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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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