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Record W3194493538 · doi:10.1163/9789004453036

Travellers in Faith

2000· book· en· W3194493538 on OpenAlexaboutno aff
Marc Gaborieau, Ebrahim Moosa, Barbara D. Metcalf, Muhamed Tozy, Mohammad Talib, Gilles Kepel, Azmi, Felice Dassetto, Elke Faust

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicDiaspora, migration, transnational identity
Canadian institutionsnot available
Fundersnot available
KeywordsFaithPublicityHajjDiversity (politics)IslamIdeologyGender studiesMedia studiesPhenomenonPolitical scienceSociologyHistoryGeographyLawPoliticsTheology

Abstract

fetched live from OpenAlex

The Tablīghī Jamā‘at is a twentieth century faith renewal movement, which is presently operating in more than eighty countries. With millions of participants, its annual conference has become the second largest Muslim congregation after the Hajj. In the absence of official writings and its abstinence from media publicity, the Jamā‘at can best be studied by participant observation, as illustrated by the studies of its activities in India, Britain, France, Germany, Belgium, Canada, Morocco and South Africa, which are presented in this volume. Studying the historical and social growth of this movement in India, its transnational transformation, the development of its ideology, particularly on the questions of conversion, gender, religious diversity, organization, communication, adjustment with the local environment and personal transformation, this volume offers fascinating information about contemporary da‘wa phenomenon in Islam.

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)0.001
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.037
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.003
Scholarly communication0.0060.004
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0370.008

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 head0.025
GPT teacher head0.297
Teacher spread0.271 · 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

Citations118
Published2000
Admission routes1
Has abstractyes

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