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Record W7114985294 · doi:10.70609/i-com.v5i4.8322

Asistensi Penyusunan Rancangan Teknokratik Rencana Pembangunan Jangka Menengah Daerah Kota Kediri

2025· article· W7114985294 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueI-Com Indonesian Community Journal · 2025
Typearticle
Language
FieldSocial Sciences
TopicPublic Administration in Developing Nations
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsCertificationLegal normLegislation

Abstract

fetched live from OpenAlex

Pembangunan daerah merupakan proses kompleks yang mencakup berbagai aspek sosial, ekonomi, dan kebijakan publik. Kegiatan pengabdian ini bertujuan memberikan asistensi kepada Pemerintah Kota Kediri dalam menyusun Rancangan Teknokratik RPJMD 2025–2029 sebagai dasar perencanaan pembangunan yang berbasis data, inklusif, dan berkelanjutan. Pendekatan teknokratik digunakan melalui pengumpulan data primer dan sekunder terkait geografi, demografi, dan kondisi sosial-ekonomi Kota Kediri. Proses ini dilengkapi dengan workshop dan diskusi panel yang melibatkan berbagai pemangku kepentingan untuk memvalidasi temuan dan merumuskan visi pembangunan. Evaluasi dilakukan melalui analisis isu strategis serta penyusunan indikator SMART untuk memperkuat implementasi kebijakan. Kegiatan ini meningkatkan kualitas perencanaan daerah dan memperkaya kajian dalam ilmu perencanaan wilayah. Melalui pengabdian ini, Pemerintah Kota Kediri diharapkan dapat menghasilkan kebijakan yang responsif terhadap tantangan lokal dan mendukung tujuan pembangunan berkelanjutan.

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.

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)0.012
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.672
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.005
Science and technology studies0.0200.002
Scholarly communication0.0030.002
Open science0.0050.001
Research integrity0.0010.008
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.348
Teacher spread0.313 · 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