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ARABIC INSCRIPS ON THE CURRENCY OF THE SAMUDERA-PASAI SULTANATE AND THE 13th TO EARLY 16th CENTURIES OF THE MALACCA SULTANATE

2022· article· en· W4392915320 on OpenAlexaff
Agung Gumilar, Fitri Nurhayati, Hendi Hidayat, Mohammad Jailani Muhammad Musni, Adi Supardi

Bibliographic record

Venueal-Urwatul Wutsqo Jurnal Ilmu Keislaman dan Pendidikan · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsIslamArabicAncient historyContext (archaeology)CurrencyPoliticsGreatnessPeninsulaHistoryPower (physics)GeographyPolitical scienceArtArchaeologyLiteratureLawPhilosophy

Abstract

fetched live from OpenAlex

According to a large number of chronicles and records, Islam is thought to have entered Nusantara directly from the Arabian Peninsula as early as the VII century AD. However, the power of Islam as a political entity has not appeared in the region since the end of the XII and XIII centuries AD. The period was marked by the introduction of a number of Arabic-inscribed currencies minted by local Muslim rulers in an effort to propagate the Islamic religion. The method used in this study is a qualitative descriptive method based on the humanities. The purpose of this research is to find out the type of khat (writing style) as well as the context of the terms contained in the currency of the Samudera-Pasai and Melaka sultanates in an effort to uncover the history of the greatness of Samudera-Pasai and Malacca, which are located on the Spice Route.

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)0.001
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: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.004
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.009
GPT teacher head0.195
Teacher spread0.186 · 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
Published2022
Admission routes1
Has abstractyes

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