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Record W3084625559 · doi:10.1080/1369801x.2020.1816849

Jews and Muslims in Globalization Literature and Theory From William Shakespeare to Ayad Akhtar

2020· article· en· W3084625559 on OpenAlexaff
Anna Guttman

Bibliographic record

VenueInterventions · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsLakehead University
Fundersnot available
KeywordsDiasporaGlobalizationCosmopolitanismNationalismSociologyIdentity (music)Gender studiesOrientalismPoliticsTrope (literature)Religious studiesAestheticsPolitical scienceLiteratureLawPhilosophyArt

Abstract

fetched live from OpenAlex

The use of Jewishness as a trope for understanding contemporary economic theories arguably originates with Karl Marx’s characterization of the commodity as an “inwardly circumcised Jew”, which Slavoj Žižek extends to include money itself. The notion of commodity is central to contemporary economic and globalization theory, and Marx’s characterization of it has gone largely unchallenged. At a time when circumcision as a religious practice is once again controversial, we would do well to attend to such discourse. I contend that many of the discourses and problems that inhere to both popular and theoretical constructions of globalization – such as circumcision, nationalism and cosmopolitanism – impact Muslims and Jews alike, often in strikingly parallel and interconnected ways. By way of illustration, I undertake a reading of the literary oeuvre of Ayad Akhtar, a Muslim-American writer of Pakistani descent. While his work is best known for its critical examination of the place and identity of the American Muslim in the post-9/11 world, I argue Jewish–Muslim intimacy is the key to Akhtar’s identity politics, a fact which reframes questions of globalization, and ought to trouble its contemporary theorizations. Far from being a subject of theological or ethnographic interest, I contend that the Jew in the literature and culture of South Asia and its diaspora provides a set of discursive practices for negotiating transnational and non-local identities, such as South Asian Muslim, diasporic Indian and global citizen.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.011
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.015
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.045
GPT teacher head0.327
Teacher spread0.283 · 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
GenreReview

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

Citations1
Published2020
Admission routes1
Has abstractyes

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