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Record W4231257112 · doi:10.25123/vej.1694

RENCANA TATA BANGUNAN DAN LINGKUNGAN (RTBL) DALAM MENATA RUANG KOTA

2015· article· en· W4231257112 on OpenAlexaff
Ilva Nurfitriati

Bibliographic record

VenueVeritas et Justitia · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Administration in Developing Nations
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsUrban planningEnvironmental planningGovernment (linguistics)Site planLand-use planningBusinessEnvironmental design and planningTransportation planningSpatial planningRegional planningCivil engineeringGeographyLand useEngineering

Abstract

fetched live from OpenAlex

Urban society has a placed a considerable amount of hope in and holds great expectations of the Urban Planning Program (RTRWK) on RTRWK as the solution to urban planning problems. This program serves as a general guideline for urban planning, although much more detailed regulations are certainly required. The Building and Developmental Planning Program (RTBL) contains urban planning regulations that are in fact already in place despite its being much less popular and/or well known compared to its counterparts: RTRWK or even RDTR (Detailed Urban Space Management Program). Urban and environmental development planning can be one of the solutions for urban management and regulations in accordance with Law No. 26 of 2007 concerning Urban Planning, as well as government regulations for urban planning management. In this study, attempts are made to describe and explain how RTBL can be utilized as a so-called tandem solution to certain urban planning problems, after taking into consideration that various urban areas have distinct characteristics and priorities.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.031
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0310.004

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 head0.134
GPT teacher head0.414
Teacher spread0.280 · 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 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

Citations4
Published2015
Admission routes1
Has abstractyes

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