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Record W3007253985 · doi:10.1177/1468796820904211

Lived Islam in post-Soviet Russia: Officials, experts, and ordinary interpretations of Islam

2020· article· en· W3007253985 on OpenAlexaff
Fabio Vicini

Bibliographic record

VenueEthnicities · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsIslamNormativeScholarshipDichotomySociologyEveryday lifeGender studiesLawPolitical scienceEpistemologyTheologyPhilosophy

Abstract

fetched live from OpenAlex

Recent anthropological scholarship on Islam has tended to carve out the ‘everyday’ as a space of Muslim life that has the potential to escape the normativity of religious discourses. In this paper, I discuss how the special issue edited by Di Puppo and Schmoller critically engages these debates by first moving the lens of attention from the religious to the ‘secular’ sphere as the source of normative discourse. The essays collected in the special issue focus indeed on the state’s and lay officials’ discourses in post-Soviet, self-declared secular Russia as the normative framework that defines much of the commitment and self-understanding of Muslims in the region. But the special issue does more. It also shows that far from remaining stalled in their own respective domains, normative discourses and ‘daily practices’ intertwine profoundly, as Muslims navigate through the normative dichotomies that are imposed on them by national and supranational global discourses. In the process, Muslims in post-Soviet Russia are able to bend these denominations to their needs, as they struggle to see legitimised their status of citizens belonging to a minority religious confession. In this vein, I conclude by suggesting that rather than reproducing static oppositions between the levels of discourse and that of practice, it is to the mutual interactions between the two and to the alternative possibilities that are disclosed by Muslim life within and without overdetermined limits that we have to turn when investigating the multiplicity and diversity of Islam in Post-Soviet Russia and beyond.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.085
Threshold uncertainty score0.399

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.053
GPT teacher head0.314
Teacher spread0.261 · 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 teacher head, 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

Citations3
Published2020
Admission routes1
Has abstractyes

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