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Record W621447481 · doi:10.15294/pandecta.v6i2.2330

Pembakuan Nama Pulau di Indonesia Sebagai Upaya untuk Menjaga Kedaulatan Negara Republik Indonesia

2013· article· id· W621447481 on OpenAlex
Agis Ardiansyah

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2013
Typearticle
Languageid
FieldEnvironmental Science
TopicInternational Maritime Law Issues
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceIndonesian governmentIndonesianHumanitiesGeographyArtPhilosophy

Abstract

fetched live from OpenAlex

Pada tahun 1987 dalam Konferensi Standarisasi Nama-Nama Geografi di Montreal, Kanada, Pemerintah Indonesia menyampaikan laporan ke PBB bahwa pulau-pulau di Indonesia telah bertambah dari 13.667 menjadi 17.508 buah. Pada saat itu PBB meminta Pemerintah Indonesia untuk menyampaikan daftar nama-nama pulau tersebut ke PBB. Data bulan Desember tahun 2007 dilaporkan bahwa dari 17.504 pulau yang tersebar di penjuru wilayah Indonesia, hanya 6.900 pulau yang memiliki nama yang telah dibakukan sesuai dengan standar internasional, selebihnya masih belum mempunyai nama yang diakui secara internasional. Penelitian ini bertujuan untuk menganalisis urgensi dilakukannya pembakuan nama bagi pulau-pulau di Indonesia sesuai dengan aturan hukum internasional serta upaya yang dilakukan oleh Pemerintah dalam membakuan nama pulau di Indonesia. Hasil penelitian ini menunjukkan bahwa upaya pembakuan nama pulau di Indonesia wajib dilakukan agar pulau-pulau yang merupakan bagian dari wilayah kedaulatan Indonesia, secara de jure, mendapatkan pengakuan internasional. Meskipun demikian terdapat kendala yang dihadapi oleh pemerintah Indonesia dalam melakukan pembakuan nama pulau seperti, kurangnya koordinasi antara aparat yang terkait, jumlah suku bangsa serta bahasa daerah yang beragam serta dana yang terbatas. In the year 1987, Government of Indonesia submitted a list reporting the increasing amount of island from 13.667 to 17.508 when attending United Nations Conference on Standardization of Geographical Names (UNCSGN) in Montreal, Canada. At that time, United Nations asked Indonesian Government to submit list of the islands to United Nations. Based on December 2007 data, reported that, from 17.504 islands scattered all around, only 6900 islands has name standardization in accordance with international standard. While the rest around 10.600 islands without standardization name, which is internationally recognized. The purpose of this research is to analyze the urgency of name standardization for Indonesia’s islands in accordance with the rules of international law. The result of this research shows that the efforts in standardization of island names in Indonesia ought to do, so that the remaining islands that become a part of Indonesian territory. However, there are few constraints faced by Indonesian government in conducting islands names standardization, such as: lack of coordination between relevant authorities, various numbers of tribes and local languages and limited funds.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient 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 score0.157
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0080.014
Open science0.0100.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1590.003

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 head0.114
GPT teacher head0.474
Teacher spread0.360 · 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