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Record W2624613161 · doi:10.20961/arst.v13i1.15584

PERAN PERKEMBANGAN KEGIATAN INDUSTRI DAN PERDAGANGAN JASA TERHADAP PERUBAHAN STRUKTUR RUANG KAWASAN SOLO BARU

2017· article· en· W2624613161 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

VenueArsitektura · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal Management and Development
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysics

Abstract

fetched live from OpenAlex

<p><em>Solo Baru area </em><em>is a satellite city that grew due to the </em><em>phenomenon of u</em><em>r</em><em>ban sprawl </em><em>in </em><em>Surakarta</em><em>.</em><em> </em><em>This area</em><em> growth of more advanced and dominated by economic activity, especially industrial and trade-services activities</em><em>. The problem is d</em><em>evelopment </em><em>on industrial and trade-services activities</em><em> </em><em> occur </em><em> </em><em> in Solo Baru certainly will encourage a change in the spatial area as centers of activit</em><em>ies</em><em>, patterns of land use and road network</em><em>. </em><em>Changes in the spatial aspect will have a negative impact on the regularity of the spatial structure and function of </em><em> the</em><em> area to the surrounding area.</em><em> </em><em>Therefore, this research was conducted to determine the role of the development of industrial and trade-services activities to </em><em>the </em><em>changes in the </em><em>spatial </em><em>structure</em><em> of Solo Baru area </em><em>.</em><em> </em><em>The method of research is deductive-quantitative</em><em>, while the data analisys technique used is </em><em> descriptive analysis of quantitative and spatial descriptive. The results of this study </em><em>notes </em><em>that both </em><em>of industrial and trade-services activities have</em><em> developed </em><em>from years</em><em> 2002-2014 </em><em>that </em><em>occurred development of industrial activity by 43% and trade-services activities amounted to 140%.</em><em> </em><em> The role of the development of industrial and trade-services activities include the agglomeration of activities and to encourage a change in the distribution centers that changes occur in the central-sub</em><em>central</em><em> models that undergo a change from a non-centered to form multi-nodal. In addition, the industrial and trade-services activities also encourage land use changes and then </em><em>give</em><em> impact </em><em>to </em><em>the </em><em>shift </em><em>and functional zoning exist within the area as well as attract more movement leads to a change in the function and capacity of the road network.</em><em></em></p><p><strong><em> </em></strong></p><p><strong><em>Keywords:</em></strong><em> </em><em>activity development role</em><em>, industrial, </em><em>spatial structure, trade-services</em></p>

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.150
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.016
GPT teacher head0.230
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