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Record W2619215779 · doi:10.24815/kanun.v15i2.6170

TANGGUNG JAWAB NEGARA TERHADAP PELARANGAN MENYELURUH RANJAU ANTI-PERSONEL DI INDONESIA DALAM KONFLIK BERSENJATA DI ACEH

2014· article· id· W2619215779 on OpenAlexaboutno aff
Muhammad Heikal Daudy

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2014
Typearticle
Languageid
FieldSocial Sciences
TopicIndonesian Legal and Regulatory Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

ABSTRACT: Convention on the Total Prohibition of Anti-Personnel Mines, was formed with a view to realizing the "Free Mine World ". Indonesia has ratified the convention, commonly known as the Ottawa Convention 1997 to the Undang-Undang Nomor 20 Tahun 2006. As a State Party, Indonesia is obliged to fulfill all the provisions of the convention and the most important is the commitment to protect every citizen from falling victim to anti-personnel mines. In armed conflict of Aceh, mines were used by both parties that the Government of the Republic of Indonesia and the Free Aceh Movement, indications are casualties is dominated by civilians after the armed conflict stopped. For these reasons, the parties are considered not to comply and execute its responsibility of each as intended conventions and International Humanitarian Law Principles. The reality is stands to reason, because the implementation of the state responsibility principle for the total prohibition anti-personnel mines are less than the maximum and seemed to slow. The problem lies in the lack of political will of both parties to keep the peace and support the development agendas in Aceh on going basis, especially with completing problems arising from the existence of anti-personnel mines. State Responsibility Towards a Total Prohibition Anti-Personnel Mines in Indonesia in Armed Conflict of Aceh

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0280.004

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 head0.136
GPT teacher head0.480
Teacher spread0.344 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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