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Record W7156200620 · doi:10.35718/sepakat.v4i5.8481745

REVITALISASI IDENTITAS WILAYAH RT 25 DI DESA WANATIRTA BALIKPAPAN

2025· article· W7156200620 on OpenAlexaff
Olivia Febrianty Ngabito, Maryo Inri Pratama, Immanuel G. Mahulae, Ragil Siratramdanin, Syifa Isnina Syafitri, Fila Nurliana, Zilvany Amalia, Sandy Ferdiansyah

Bibliographic record

VenueSeminar Nasional Pengabdian Kepada Masyarakat (SEPAKAT) · 2025
Typearticle
Language
FieldArts and Humanities
TopicArchitectural and Urban Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsQualitative researchPower (physics)

Abstract

fetched live from OpenAlex

Program Kuliah Kerja Nyata (KKN) ini diselenggarakan oleh mahasiswa Institut Teknologi Kalimantan dengan mengusung tema Revitalisasi Identitas Wilayah RT 25 di Desa Wanatirta Balikpapan. Desa Wanatirta, yang terletak di KM 15 Karang Joang, Balikpapan, memiliki potensi besar di bidang pertanian, perkebunan, dan pariwisata alam. Namun, keterbatasan fasilitas seperti denah kawasan, papan informasi, dan nomor rumah yang jelas masih menjadi kendala dalam pengembangan desa. Masalah ini menghambat navigasi serta penataan lingkungan, dan berdampak pada pelayanan publik.Kegiatan pengabdian masyarakat yang akan dilaksanakan di Desa Wanatirta bertujuan untuk mengidentifikasi dan menyelesaikan permasalahan ini melalui berbagai program dan inisiatif. Dengan melibatkan mahasiswa, masyarakat setempat, dan pihak terkait, diharapkan permasalahan ini dapat diselesaikan secara efektif dan berkelanjutan, sehingga Desa Wanatirta dapat berkembang menjadi desa yang lebih teratur, nyaman, dan mudah diakses oleh semua pihak.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.314
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0060.003
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.002

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 head0.015
GPT teacher head0.253
Teacher spread0.238 · 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 designNot applicable
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
Published2025
Admission routes1
Has abstractyes

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