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Record W2090890415 · doi:10.2307/3557788

Civil Islam: Muslims and Democratization in Indonesia.

2001· article· en· W2090890415 on OpenAlexaffvenue
Stewart Sutley

Bibliographic record

VenuePacific Affairs · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Studies and History
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsDemocratizationIslamPolitical scienceReligious studiesPolitical economyDemocracyDevelopment economicsSociologyHistoryLawEconomicsPhilosophyPoliticsArchaeology

Abstract

fetched live from OpenAlex

Foreward vii Preface xi Acknowlegments xxi List of Abbreviations xxiii Chapter One: Democratization in an Age of Religious Revitalization 3 Chapter Two: Civil Precedence 21 Chapter Three: Contests of Nation 37 Chapter Four: Ambivalent Alliances: Religion and Politics in the Early New Order 58 Chapter Five: The Modernist Travail 94 Chapter Six: Islam Deferred: Regimist Islam and the Struggle for the Middle Class 128 Chapter Seven: Uncivil State: Muslims and Violence in Soeharto's Fall 167 Chapter Eight: Conclusion: Muslim Politics, Global Modernity 214 Notes 223 Index 271

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)0.000
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0040.003
Open science0.0000.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0160.002

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 head0.012
GPT teacher head0.242
Teacher spread0.231 · 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

Citations488
Published2001
Admission routes2
Has abstractyes

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