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Record W2207837428 · doi:10.1093/socrel/srv052

The Apostates: When Muslims Leave Islam

2015· article· en· W2207837428 on OpenAlexaboutno aff
Phil Zuckerman

Bibliographic record

VenueSociology of Religion · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsnot available
Fundersnot available
KeywordsIslamReligious studiesSociologyTheologyPhilosophy

Abstract

fetched live from OpenAlex

Thoughtful, engaging, and well presented, Simon Cottee's in-depth analysis of contemporary ex-Muslims is a fantastic read. It is an astute and timely exploration of an ever-increasingly important social phenomenon: the rejection of religion. The book's three greatest strengths are: (1) the author allows the apostates to speak for themselves, so we get to read—often in their own words—about their personal struggles, family ordeals, existential angst, life experiences, values, opinions, worldviews, etc., (2) the author provides on-going, in-depth, nuanced, and insightful analysis of the process of exiting Islam, so that the personal stories of apostasy are well examined, couched in appropriate scholarly context, and made sociologically relevant, and finally (3) the focus is on contemporary men and women living in the West (primarily Britain and Canada) who have rejected Islam—a fascinating, under-studied population, to be sure. Cottee's goal is not to debunk Islam. He has no stake in a theological, cultural, or even political critique. Rather, his interests are purely social scientific: how does it happen that some men and women lose their faith in Islam? What is that process like? And in what ways is apostasy unique for individuals born and raised Muslim in the Western world? Hint: they face a double burden, being “marginalized not only from their families and the wider community of Muslim believers but also from a predominantly white and non-believing secular world which shows little interest in, still less understanding of, their situation” (xiv).

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)0.003
metaresearch head score (Gemma)0.006
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 score0.021
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0210.030
Scholarly communication0.0080.007
Open science0.0010.008
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0040.000

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 head0.034
GPT teacher head0.303
Teacher spread0.269 · 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

Citations68
Published2015
Admission routes1
Has abstractyes

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