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Record W3129945831 · doi:10.14421/jd.2122020.4

JEJAK ISLAM DI TANAH KESULTANAN BUTON

2021· article· id· W3129945831 on OpenAlexaff
Muhammad Khaerun Rijaal

Bibliographic record

VenueJurnal Dakwah · 2021
Typearticle
Languageid
FieldSocial Sciences
TopicIslamic Studies and Radicalism
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsIslamPhilosophyHumanitiesReligious studiesTheology

Abstract

fetched live from OpenAlex

The traces of Islam in the region of Buton Sultanate are rarely described by historians and preacher. This paper aims to explore the history of Islam in Buton. This article is result of a qualitative research with historical approach. The study found that the traces of Islam in the land of the Buton Sultanate can be known about the entry of Islamic teachings in the Buton which is able to change its system of government from a kingdom to a sultanate and also the traces of Islam left behind can continue through educational institutions. This was influenced by one of the figures who was very influential in the process of Islamization in the Buton Sultanate. Jejak islam yang berada di tanah kesultanan buton jarang untuk diketahui oleh sebagian ahli sejarawan yang berkecimpung didunia sejarah dan juga dakwah. Hal ini yang membuat penulis untuk memaparkan history mengenai jejak islam yang ada di tanah buton. Artikel ini merupakan penelitian jenis kualitatif dengan menggunakan pendekatan studi history sehingga jejak islam ditanah kesultanan buton bisa diketahui tentang masuknya ajaran islam yang ada ditanah buton yang mampu merubah sistem pemerintahannya dari kerajaan menjadi sebuah kesultanan dan juga jejak islam yang ditinggalkan dapat terus berlanjut melalui lembaga pendidikan. Hal ini dipengaruhi oleh salah satu tokoh yang sangat berpengaruh dalam proses islamisasi di tanah kesultanan buton

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: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.029

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 studies0.0030.002
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.016
GPT teacher head0.286
Teacher spread0.269 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

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