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Record W1487781810 · doi:10.5539/ass.v11n24p147

Heretical Innovation of Distorted Beliefs (Bid’ah Dalalah) and Superstitious Practices Among Muslim Society in Malaysia

2015· article· en· W1487781810 on OpenAlexvenueno aff
Fadzli Adam, Firdaus Khairi Abdul Kadir, Syed Hadzrullathfi Syed Omar, Zawawi Yusoff, Wan Hishamudin Wan Jusoh

Bibliographic record

VenueAsian Social Science · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Islamic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIgnoranceShamanismIslamMysticismPoliticsMAGIC (telescope)SociologyPerceptionReligious beliefEnlightenmentSocial sciencePsychologyPolitical scienceLawEpistemologyTheologyPhilosophy

Abstract

fetched live from OpenAlex

The teaching of Islam has warned and reminded Muslim society regarding the threat of superstitious practices after the period of the Prophet Muhammad (peace be upon him). Various distorted beliefs, such as shamanism and fortune-telling, have simultaneously spread all over the Muslim world including Malaysia. Among several causal of heretical innovation of distorted belief is ignorance and lack of religious knowledge. This article higlights contributing factors of Malays’ involvement in superstitious practices which stresses on their perception, beliefs and practices. The writing of this article is based on the study conducted through qualitative methods using observation and interview. Selected key informants from religious affairs departments and political leadership are selected as respondents of the study. The result found that lack of religious education, ignorance, the influence of shamanism and strong belief in mystic and magic are accepted to contribute to the occurence of superstitious practices. These causal factors need to be addressed in the very best possible manner by the Islamic affairs authorities in order to prevent futher society involvement.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.434
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.004
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.052
GPT teacher head0.364
Teacher spread0.312 · 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.

Study designObservational
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

Citations5
Published2015
Admission routes1
Has abstractyes

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