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Record W2979477468

The Consequences One Can Face Upon Leaving The Religion of Islam In the West

2019· article· en· W2979477468 on OpenAlexaff
Usman Mohammed, Matthew Chipman, Daniel Zahr

Bibliographic record

VenueStudent Research Proceedings · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Islamic Studies
Canadian institutionsMacEwan University
Fundersnot available
KeywordsIslamFaithPower (physics)Face (sociological concept)EmancipationNatural (archaeology)Social psychologySociologyCriminologyPsychologyPolitical scienceHistoryLawPoliticsEpistemologyPhilosophyTheologySocial science
DOInot available

Abstract

fetched live from OpenAlex

Religion is defined as the belief in a superhuman controlling power. For many, religion assists in providing an outlet to express personal connections with the natural world and deep and spiritual connections to oneself. In some religions, sects, and individuals; however, religion goes beyond the personal spiritual journey and begins to influence one’s diet, hobbies, wardrobe, and approach to the family unit. Because of these significant influences, leaving a religion may cause families to be break apart, and as a result, deeply adverse psychological effects can be observed. This manifestation of trauma as a result of leaving is very prevalent in the religion of Islam. Many Muslims, or rather ex-Muslims that suffer from a crisis in faith fear for the consequences that may arise from leaving the religion. These potential consequences may include involuntary emancipation from the nuclear and extended family, divorce, and in certain extreme circumstances, even death. One would think that these punishments would not really exist in the West yet, there are clear with the last twenty years of individuals being abused and murdered simply because of a lapse in their personal connection with Islam.   Faculty Mentor: Leo Wong Department: Business

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)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.229
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
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 science0.0010.000
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 head0.138
GPT teacher head0.470
Teacher spread0.332 · 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 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
Published2019
Admission routes1
Has abstractyes

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