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Record W4404620092 · doi:10.59188/eduvest.v4i11.44766

Instilling The Value of Religious Moderation in Preventing Radicalism at The Ma'had Madinatul Ma Madinatul Khairaat Buntuna Islamic Boarding School

2024· article· en· W4404620092 on OpenAlexaff
Maolana Maolana

Bibliographic record

VenueEduvest - Journal Of Universal Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and Radicalism
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsPolitical radicalismIslamModerationIdeologyHarmony (color)DeliberationReligious valuesBoarding schoolSociologyReligious educationSocial sciencePedagogyPsychologySocial psychologyPolitical scienceLawPoliticsTheologyPhilosophy

Abstract

fetched live from OpenAlex

Religious radicalism is one of the threats to the harmony of society and the state. Islamic boarding schools as Islamic educational institutions have an important role in preventing the spread of radical ideology through moderate education. This study was conducted to understand how the process of instilling the values of religious moderation takes place in this Islamic boarding school and its effectiveness in preventing radicalism among students. This study uses a qualitative research method with a case study approach. The data collection technique in this study is through literature studies and document studies. The data that has been collected is then analyzed in three stages, namely data reduction, data presentation and drawing conclusions. The results of the study show that Pesantren Ma'had Madinatul Khairaat Buntuna emphasizes the importance of moderate education with an approach that teaches students to respect differences, both among fellow Muslims and with adherents of other religions. Values such as tolerance, deliberation, and brotherhood are instilled through various religious activities, such as religious studies, discussions, and social activities outside the pesantren. Students are also taught to understand religious teachings as a whole, not only from a narrow literal perspective, so that they are able to ward off radicalism.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.422
Threshold uncertainty score0.970

Codex and Gemma teacher scores by category

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

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 head0.018
GPT teacher head0.308
Teacher spread0.289 · 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 teacher head, 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

Citations0
Published2024
Admission routes1
Has abstractyes

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