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Record W2944995082 · doi:10.7771/1481-4374.3576

"You Prefer Your Enemies Simple and Well Defined": Reading Anton Shammas’ <em>Arabesques</em> as a Novel that Strategically Resists Interpellation

2019· article· en· W2944995082 on OpenAlexaff
Yiftach Ashkenazi, Omri Grinberg

Bibliographic record

VenueCLCWeb Comparative Literature and Culture · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIdeologySubject (documents)Reading (process)Identity (music)LiteratureHebrewPoliticsHistoryCriticismPhilosophyAestheticsArtLinguisticsLawComputer sciencePolitical science

Abstract

fetched live from OpenAlex

Anton Shammas’s 1986 novel Arabesques has been the subject of much literary criticism and on-going discussions in Hebrew literature circles. This article argues that existing interpretations of this work share a fundamental similarity to the extent that they assume Arabesques to be a novel whose primary aim is to depict a certain kind of subject, in accordance with the complicated emplacement of Shammas as a Palestinian writing in Hebrew. Against such interpretations, we suggest that Arabesques is better understood as a text that resists the process of subject formation as linked to Althusser’s notion of ideology. Instead, Shammas explores the possibilities inherent in fictionality itself. Fiction, in our reading, is an alternative practice that opens up new possibilities for identity formations and for political criticism which are tied neither to ideology nor to the Althusserian interpellated subject. While departing from previous readings of the novel, these claims nevertheless stand in a line of descent with their predecessors.

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)0.002
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0070.016
Scholarly communication0.0050.003
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.031
GPT teacher head0.291
Teacher spread0.260 · 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
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

Citations0
Published2019
Admission routes1
Has abstractyes

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Same venueCLCWeb Comparative Literature and CultureSame topicIslamic Studies and HistoryFrench-language works237,207