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Record W3010398083 · doi:10.1163/15685195-02712p05

Islamic Charity as (Non)Political in Contemporary Egypt

2020· article· en· W3010398083 on OpenAlexaff
Amira Mittermaier

Bibliographic record

VenueIslamic Law and Society · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPoliticsIslamForegroundingState (computer science)ParadiseSociologyLawPolitical sciencePolitical economyPhilosophyTheology

Abstract

fetched live from OpenAlex

Abstract Whereas some Muslim-majority countries have centralized alms economies, in others Islamic charity unfolds informally. In Egypt, pious giving occurs on the margins of the state but lies at the heart of society. Egyptians’ daily charitable practices may therefore be read as political in the broad sense proposed by Hannah Arendt: efforts by ordinary citizens to shape the conditions of their collective existence. Although this Arendtian framework helps scholars to think about politics beyond the parameters of the state, even such widened notions of the political are not consistent with how pious givers in Egypt understand their practices. While attending to the poor, pious givers often orient themselves away from the social and material, foregrounding the beyond, paradise and God. Even though the “beyond” is intimately connected to the “here and now,” this decentering of the social poses a provocative challenge to the secular observer’s search for the political.

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)0.002
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.014
Scholarly communication0.0050.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.035
GPT teacher head0.291
Teacher spread0.256 · 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

Citations3
Published2020
Admission routes1
Has abstractyes

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