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Record W2986857809 · doi:10.31258/unricsce.1.684-689

Penguatan kelembagaan desa adat di Kampung Lubuk Jering Kecamatan Sungai Mandau Kabupaten Siak

2019· article· id· W2986857809 on OpenAlexaff
Abdul Sadad, Dadang Mashur, Tito Handoko

Bibliographic record

VenueUnri Conference Series Community Engagement · 2019
Typearticle
Languageid
FieldSocial Sciences
TopicLocal Governance and Development
Canadian institutionsEncana (Canada)WiLAN (Canada)
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Pengabdian ini bertujuan untuk memberikan penguatan kelembagaan kampung adat dalam penyelenggaraan pemerintahan, pembangunan dan pelayanan kepada masyarakat di Kampung Lubuk Jering Kecamatan Sungai Mandau. Masalah yang terjadi diakibatkan oleh semakin kompleknya tata kehidupan di tengah masyarakat kampung adat sebagai akibat dari pengaruh urbanisasi penduduk dari daerah lain. Kampung adat di Kabupaten Siak sebagai salah satu bentuk sistem pemerintahan tradisional di Indonesia yang banyak mengalami perubahan. Perubahan itu menyangkut berbagai aspek kehidupan sosial yang menyentuh nilai, norma, sikap dan pola perilaku masyarakatnya. Metode yang digunakan adalah metode penyuluhan. Pelaksanaan pengabdian masyarakat dalam rangka penguatan kelembagaan adat di Kampung Lubuk Jering Kecamatan Mandau dapat disimpulkan telah berhasil memberikan penyuluhan. Keberhasilan ini antara lain ditunjukkan oleh adanya kesesuain materi dengan kebutuhan aparatur pemerintahan desa dan masyarakat dalam usaha penguatan kelembagaan adat di Kampung Lubuk Jering Kecamatan Sungai Mandau Kabupaten Siak. Kemudian adanya respon yang positif (70%) dari peserta berdasarkan kuisioner yang dibagikan, yang ditunjukkan dengan pertanyaan dan tanggapan yang diberikan selama pengabdian. Sebagian besar peserta telah memahami arti pentingnya penguatan kelembagaan adat di Kampung Lubuk Jering Kecamatan Sungai Mandau Kabupaten Siak.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0210.004

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 head0.070
GPT teacher head0.285
Teacher spread0.215 · 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 designQualitative
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
Published2019
Admission routes1
Has abstractyes

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