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Budaya Unik “Munggahan” Menjelang Bulan Ramadhan Di Kabupaten Subang Jawa Barat : Studi Antropologi Al-Qur’an

2024· article· en· W4403101842 on OpenAlexaff
Alam Tarlam, N. Fitri Amaliya, Ernawati Ernawati

Bibliographic record

VenueUrwatul Wutsqo Jurnal Studi Kependidikan dan Keislaman · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCultural and Religious Practices in Indonesia
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

This research examines the development of the Munggahan tradition in the Subang region of West Java. Munggahan is a tradition of welcoming the month of Ramadan that reflects the values of gratitude and gotong royong in Sundanese society. The research method used is a descriptive qualitative approach, involving field observations, literature studies, and interviews. The results showed that the Munggahan tradition includes several processions such as grave pilgrimage, padusan (holy bathing), eating together, and sidekah (tahlilan). The spiritual and social meanings contained in this tradition include expressions of gratitude to Allah SWT, respect for ancestors, and strengthening social ties within the community. However, research has also revealed a decline in interest in this tradition, especially among the younger generation, due to the influence of Westernization and technological developments. Nevertheless, the values contained in the Munggahan tradition are still considered relevant in the context of modern life, especially in strengthening social solidarity and the cultural identity of Sundanese society. This study concludes that despite the challenges of modernization, the Munggahan tradition still has cultural and spiritual significance for the people of Subang, West Java.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

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 integrity0.0000.001
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 head0.028
GPT teacher head0.353
Teacher spread0.325 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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