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Implementasi Kebijakan Ruang Terbuka Hijau Di Kota Dumai

2022· article· en· W4292088949 on OpenAlexaff
Erni Darlis, Hasim As’ari, Sujianto Sujianto

Bibliographic record

VenueJurnal Ilmiah Muqoddimah Jurnal Ilmu Sosial Politik dan Hummaniora · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicWaste Management and Recycling
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsGovernment (linguistics)Environmental planningSpace (punctuation)GeographySettlement (finance)Research methodFishingBusinessRegional sciencePublic administrationPolitical scienceFinanceComputer science

Abstract

fetched live from OpenAlex

Dumai City is one of the newly expanded cities in Riau Province, where this area was originally an administrative city with three sub-districts, and is under the main district, namely Bengkalis Regency. In the past, the geographical condition of the Dumai region was a coastal fishing settlement area that developed along its coastline. The purpose of this research is to analyze the implementation, identify the inhibiting factors in implementing the policy, and identify the efforts made by the Dumai City Government in implementing the policy for Green Open Space (RTH) in Dumai City. The form of research that the author uses in writing this research is to use a descriptive method with a qualitative data analysis approach. The result of this research is that the implementation of Green Open Space Policy in Dumai City based on the Regulation of the Minister of Public Works Number 05 of 2008 concerning Guidelines for Provision and Utilization of Green Open Space in Urban Areas is not optimal

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)0.002
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 score0.016
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.250
Teacher spread0.234 · 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
Published2022
Admission routes1
Has abstractyes

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Same venueJurnal Ilmiah Muqoddimah Jurnal Ilmu Sosial Politik dan HummanioraSame topicWaste Management and RecyclingFrench-language works237,207