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Record W4387346579 · doi:10.54828/ijsls.2023v3n1.5

Panglima Laot and Contributions in Upholding Customary Law in Aceh's Maritime Regions

2023· article· en· W4387346579 on OpenAlexaff
Heru Susetyo, Satrio Alif Febriyanto, Shaubi Laidinar, Wahyumi Ilahidayah, Muhammad Febriansyah, Nadila Mahilaveda

Bibliographic record

VenueThe Indonesian Journal of Socio-Legal Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Studies and Policies
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsHarmony (color)Political scienceLawGovernment (linguistics)Geography

Abstract

fetched live from OpenAlex

Panglima Laot has been felt in Aceh since the era of Sultan Iskandar Muda and is still known today. Panglima Laot is not part of the Aceh government but is recognized as Aceh's cultural heritage. Later, Panglima Laot was also regulated in the Aceh Qanun as the living law in Aceh. Culturally, it can be said that the Marine Commander is the leader of the fishermen in Aceh, whose job is to coordinate the fishermen, maintain maritime security according to their respective territories, and conserve Aceh's marine environment. This article examines the existence of Panglima Laot in Aceh in this contemporary era. With an emphasis on their role in upholding customary law in Aceh waters. The data was obtained through field research in Aceh and library data studies. The findings from this study are that Panglima Laot in Aceh still exists and plays a significant role in upholding customary law in Aceh waters. Coexist in harmony with national law and other legal systems that live in 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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.037
GPT teacher head0.342
Teacher spread0.305 · 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 designQualitative
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

Citations3
Published2023
Admission routes1
Has abstractyes

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