MétaCan
Menu
Back to cohort
Record W2025690099 · doi:10.5539/ass.v10n14p239

The Phenomenon of Extremism in Religion in Muslim Life: An Analysis of Its Roots, Causes and Nature

2014· article· en· W2025690099 on OpenAlexvenueno aff
Thameem Ushama

Bibliographic record

VenueAsian Social Science · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Islamic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFanaticismIgnorancePhenomenonPoliticsPerspective (graphical)IslamScope (computer science)ConsciousnessSociologyEpistemologyLawPolitical scienceHistoryPhilosophy

Abstract

fetched live from OpenAlex

This paper strives to analyse the roots, causes and nature of extremism in Muslim life from a contemporary Muslim perspective. Its scope is limited to historical, ideational and psychological roots of contemporary extremism among Muslim individuals and organizations, regardless of whether they live as the majority or minority in their country. It employs the qualitative method, focusing on content analysis of the writings of Muslim scholars and observations of extremists as they resort to activities that lead to fanaticism or obsession in their words and deeds. It is hoped this will awaken Muslims from their ignorance and raise their consciousness to know the history to enable them to correct themselves from their flaws or errors should they resort to any extremist tendencies in their intentions, interactions, interpretations, actions, articulations, analyses, speeches, sermons, dialogues, debates and writings or teachings, either consciously or unconsciously, whether in academic or social or political or religious or interfaith discourses. Lastly, it provides a conclusion and recommendations.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.738
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.016
GPT teacher head0.337
Teacher spread0.322 · 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 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

Citations4
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueAsian Social ScienceSame topicEducation and Islamic StudiesFrench-language works237,207