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Record W4412102282 · doi:10.24815/raut.v14i1.45821

Karakteristik Pendukung Pengembangan Pusat Kota Baru Batoh-Lamdom Sebagai Kawasan Kompak

2025· article· id· W4412102282 on OpenAlexaff
Risna Isnanda, Mirza Irwansyah, Putra Rizkiya

Bibliographic record

VenueJurnal RAUT · 2025
Typearticle
Languageid
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Fiscal Policies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsBaruArchaeologyGeography

Abstract

fetched live from OpenAlex

Kota kompak dapat menjadi jawaban dari permasalahan perkotaan berupa pembangunan yang menyebar dengan memberi sinergi kepadatan penduduk yang ideal, kegiatan ekonomi dan sosial yang terkonsentrasi, dan intensifikasi transportasi umum yang lebih baik. Pembangunan Kota Banda Aceh yang cenderung ke arah Selatan merupakan dampak dari kejadian tsunami tahun 2004, sehingga menjadikannya sebagai wilayah Pusat Kota Baru di masa depan, tepatnya di Kawasan Batoh-Lamdom. Pembangunan tersebut memberikan dampak berupa pembangunan yang menyebar. Oleh karena itu, diperlukan pengawasan perencanaan pembangunan di wilayah Pusat Kota Baru Batoh-Lamdom. Penelitian ini bertujuan melihat kesesuaian wilayah untuk menjadi kota kompak. Beberapa hal dasar yang dilihat berupa kependudukan, prasarana, hingga kebencanaan wilayahnya. Pusat Kota Baru Batoh-Lamdom memiliki penduduk dengan usia produktif, prasarana yang telah memenuhi, dan tingkat bahaya bencana yang minim. Beberapa hal tersebut dapat menjadi modal dasar untuk penerapan konsep kota kompak.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0230.005

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 head0.019
GPT teacher head0.231
Teacher spread0.213 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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