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Record W4400465769 · doi:10.33884/jck.v10i2.6460

KASUS PENYELESAIAN BATAS LAUT ANTARA INDONESIA DAN MALAYSIA

2022· article· id· W4400465769 on OpenAlexaff
Lenny Husna, Elsa Maria, Selpiana Br Nababan

Bibliographic record

VenueJurnal Cahaya Keadilan · 2022
Typearticle
Languageid
FieldSocial Sciences
TopicLegal Studies and Policies
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

Subyek konflik Sipadan dan Ligitan dibawa ke Mahkamah Internasional pada tahun 1998, dan pada hari Selasa, 17 Desember 2002, ICJ menyampaikan putusan tentang masalah sengketa Sipadan-Ligatan antara Indonesia dan Malaysia. Akibatnya, Malaysia memperoleh 16 suara dalam pemungutan suara lembaga tersebut, sedangkan hanya satu hakim yang memilih Indonesia. 15 dari 17 hakim adalah hakim tetap MI, dengan satu orang Malaysia dan satu orang Indonesia di antaranya. Akibatnya, Malaysia harus diperhitungkan (Tanpa memutuskan masalah wilayah perairan dan batas laut), Kerajaan Inggris (Malaysia kolonial) telah mengambil upaya administratif yang nyata, seperti mengeluarkan peraturan untuk melestarikan burung yang terancam punah dan mengenakan pungutan penyu. Sejak tahun 1930, pengumpulan telur telah berlangsung, dan mercusuar telah beroperasi sejak tahun 1960-an. Sementara itu, operasional pariwisata Malaysia terabaikan, begitu pula penyangkalan yang didasarkan pada chain of title (suite milik Sultan Sulu), yang gagal membangun perbatasan maritim antara Malaysia dan Indonesia di Selat Makassar.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.032
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0320.012

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 head0.021
GPT teacher head0.278
Teacher spread0.257 · 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 designNot applicable
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

Citations1
Published2022
Admission routes1
Has abstractyes

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