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Record W4386766227 · doi:10.26443/arc.v44i.362

Religious Difference in a Secular Age: A Minority Report, by Saba Mahmood

2016· article· en· W4386766227 on OpenAlexaff
Malith Kur

Bibliographic record

VenueArc The Journal of the School of Religious Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsMcGill University
Fundersnot available
KeywordsReligious studiesSecular educationSociologySecular variationHistoryDemographyPhilosophy

Abstract

fetched live from OpenAlex

Saba Mahmood, in her book Religious Difference in a Secular Age, explores the historical relationships that have evolved for over two hundred years between religious majorities, minorities, and modern secular state structures in the regions of Europe and the Middle East.In her observation, these relationships have been shaped and influenced by European interests and active involvement in Middle Eastern affairs.But the book is, more specifically, an excellent historical tour of modern Egyptian social, religious, and political life.As the title shows, this book offers "a report" about the relationship between the religious majority and minorities in modern Egypt and beyond.Mahmood has raised many important points about this issue, but the most significant one, in my view, is the claim that "Western religious and secular discourses were crucial to the construction of the minority problem in Egypt" (72).This premise is important in three ways in the debate about religious liberty and minority rights in Egypt.First,

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)0.003
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: none
Teacher disagreement score0.030
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.321
Teacher spread0.301 · 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

Citations0
Published2016
Admission routes1
Has abstractno

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