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Record W4223658245 · doi:10.32795/space.v3i2.2242

PERAN MASYARAKAT DALAM PENGEMBANGAN WILAYAH

2022· article· en· W4223658245 on OpenAlexaff
Ulan Aryantini Amir, Hasti Widyasamratri

Bibliographic record

VenueSustainable Planning and Culture (SPACE) Jurnal Perencanaan Wilayah dan Kota · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Administration in Developing Nations
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsSpatial planningRegional planningGovernment (linguistics)Process (computing)Regional developmentEmpowermentEnvironmental planningCommunity developmentWelfareNatural (archaeology)Sustainable developmentGeographyBusinessRegional scienceEnvironmental resource managementUrban planningEconomic growthPolitical scienceComputer scienceCivil engineeringEconomicsEngineering

Abstract

fetched live from OpenAlex

Indonesia consists of a vast area of ​​land and sea, therefore the utilization of the arrangement needs to be made for the welfare of the community. At this time there are still many people who are indifferent and do not understand the essence of spatial planning. Spatial planning is contained in Law No. 26 of 2007. Regional development is the process of directing the potential of the area to be used comprehensively to realize the welfare of the community. The empowerment process is usually a combination of several mutually supportive factors. Regional development is a form of effort to build and develop regions using a spatial approach by considering socio-cultural, economic, natural, and institutional aspects in the planning framework. Regional development and spatial planning that have been planned by the government depend on the role and participation of the community. In the realization of regional development, the role of the community is very much needed in determining the success of regional development plans. Keywords: spatial planning, community role, regional development, regional growth

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0260.005

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 head0.017
GPT teacher head0.299
Teacher spread0.282 · 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 designQualitative
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

Citations2
Published2022
Admission routes1
Has abstractyes

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Same venueSustainable Planning and Culture (SPACE) Jurnal Perencanaan Wilayah dan KotaSame topicPublic Administration in Developing NationsFrench-language works237,207