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Record W3022122499 · doi:10.33701/jipwp.v45i2.692

PENYUSUNAN RENCANA TATA RUANG WILAYAH (RTRW) PERTAHANAN PADA IBU KOTA BARU REPUBLIK INDONESIA

2019· article· id· W3022122499 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

VenueJurnal Ilmu Pemerintahan Widya Praja · 2019
Typearticle
Languageid
FieldEnvironmental Science
TopicCoastal Management and Development
Canadian institutionsEncana (Canada)WiLAN (Canada)
Fundersnot available
KeywordsHumanitiesPhysicsArt

Abstract

fetched live from OpenAlex

Penelitian ini menganalisis tentang Rencana Tata Ruang Wilayah (RTRW) Pertahanan Negara pada Ibu Kota Baru Republik Indonesia, yang seharusnya dirancang melalui dua pendekatan sekaligus, yakni pendekatan kesejahteraan (prosperity approach) dan pendekatan keamanan (security approach), sehingga akan mampu menjadi ibu kota yang smart and green city sekaligus juga menjadi secure and defence city, dalam menghadapi ancaman, baik ancaman militer maupun ancaman nir militer. Dengan menggunakan metode kualitatif dan teknik pengumpulan data berupa observasi, wawancara, dan studi literatur / penelaahan dokumentasi, disimpulkan bahwa diperlukan road map RTRW pertahanan negara pada ibu kota Republik Indonesia yang dirancang secara terpadu, terintegrasi, terpola, dan 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.352
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0020.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0280.012

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 head0.009
GPT teacher head0.215
Teacher spread0.206 · 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