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Record W2530878174

The Apostates: When Muslims Leave Islam

2015· book· en· W2530878174 on OpenAlexaboutno aff
Simon Cottee

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicReligion, Society, and Development
Canadian institutionsnot available
Fundersnot available
KeywordsApostasyIslamFaithPoliticsContext (archaeology)Political scienceSociologyReligious studiesSociology of religionLawSocial scienceTheologyHistoryPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

The Apostates is the first major study of apostasy from Islam in the western secular context. Drawing on life-history interviews with ex-Muslims from the UK and Canada, Simon Cottee explores how and with what consequences Muslims leave Islam and become irreligious. Apostasy in Islam is a deeply controversial issue and features prominently in current debates over the expansion of Islam in the West and what this means. Yet it remains poorly understood, in large part because it has become so politicised--with protagonists on either side of the debate selectively invoking Islamic theology to make claims about the 'true' face of Islam. The Apostates charts a different course by examining the social situation and experiences of ex-Muslims. Cottee suggests that Islamic apostasy in the West is best understood not as a legal or political problem, but as a moral issue within Muslim families and communities. Outside of Muslim-majority societies, ex-Muslims are not living in fear for their lives. But they face and must manage the stigma attached to leaving the faith from among their own families and the wider Muslim community.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.011
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.023
Scholarly communication0.0070.007
Open science0.0010.004
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0030.001

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 head0.035
GPT teacher head0.298
Teacher spread0.264 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations13
Published2015
Admission routes1
Has abstractyes

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