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Record W2892443955 · doi:10.5539/jsd.v11n5p277

The Problem of Transportation Infrastructure Development in Papua Region Indonesia

2018· article· en· W2892443955 on OpenAlexvenueno aff
R. Didin Kusdian

Bibliographic record

VenueJournal of Sustainable Development · 2018
Typearticle
Languageen
FieldEngineering
TopicUrban Transport Systems Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)PopulationEquity (law)Context (archaeology)The RepublicEconomic growthPublic infrastructureGeographyUnitary stateBusinessEconomyPolitical scienceEconomicsSociology

Abstract

fetched live from OpenAlex

The eastern region of Indonesia, Papua, decentralized government administration has been divided into 2 (two) provinces, namely West Papua Province with provincial capital of Manokwari and Papua Province with provincial capital of Jayapura. Judging from the history of all the existing provinces, the last territory of independence becomes part of the territory of the Unitary State of the Republic of Indonesia. The Republic of Indonesia was established in 1945, and this easternmost region entered as part of the territory of the Republic of Indonesia in 1962. The number and density of its population are the fewest. The development of this area continues to be carried out, various concepts of development planning continue to be developed and implemented. Progress was achieved in several aspects of community life. However, the results achieved have not been as expected. The infrastructure network that has been built has not been successful in balancing the issues of inequality and equity in the context of the whole of Indonesia as a unified infrastructure system that supports all sectors of the lives of citizens, especially the economic and social sectors. Infrastructure is meant here is the infrastructure that is the responsibility of the government in the ministry of communications and the ministry of public works and public housing. Constraints of topographic conditions, rare population, cultural perceptions, and distance coverage of the already advanced areas are issues that need to be addressed and solved alternative solutions. The system constraints of all infrastructure and the priority of which components must be built first and the priority of the location also become individual issues, which in this system will also include power supply system, fuel, and cement as the main material of infrastructure building. This paper summarizes and discusses some of the results of discussions and studies related to the acceleration of infrastructure development in Papua.

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)0.003
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 score0.074
Threshold uncertainty score0.147

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.005
GPT teacher head0.180
Teacher spread0.176 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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