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Record W7061180994

"Playing Jewish Geography": Diaspora, Home, Nation-State, and Zionism in Contemporary Canadian and American Jewish Fiction

2021· other· en· W7061180994 on OpenAlexaboutno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2021
Typeother
Languageen
FieldEngineering
TopicSuperconducting Materials and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsDiasporaZionismJudaismJewish studiesNationalismJewish historyJewish literatureSubject (documents)Order (exchange)
DOInot available

Abstract

fetched live from OpenAlex

This dissertation explores fiction by American and Canadian Jewish authors that has Israel/Palestine as its setting or subject matter, analyzing them through a lens of diaspora studies in order to demonstrate how diaspora is an ethical alternative to the ethnic nationalism of Zionism. Theoretically, this project deploys thinkers of diaspora (Daniel and Jonathan Boyarin, George Steiner, Judith Butler) and world literature (Wai Chee Dimock, Rebecca Walkowitz) with historians and critics of Zionism and Israel/Palestine (Nur Masalha, Ali Abuminah, Steven Salaita, Ella Shohat, Yehouda Shenhav). The dissertation is also interested in how Zionist national time and diasporic time (as theorized by Eyal Chowers and others) compete within and without the projects archive of primary texts. The works of diasporic fiction this project unpacks are written by Theodor Herzl, Leon Uris, Philip Roth, Ayelet Tsabari, and David Bezmozgis. Where the first two chapters interrogate canonical texts by established American (and Austrian) authors, the second two chapters analyze contemporary texts by Canadian authors in the beginning or middle of their careers. Throughout the dissertation, I develop the concept of diasporic heteroglossiaa combining of the work of Daniel and Jonathan Boyarin with the literary theory of Mikhail Bakhtinwhich can be defined as fictions unique ability to contain multiple, diasporic voices that resist a national, in this case Zionist, center. \t \n What the close, historically and politically informed readings of my primary texts reveal is Jewish diasporic fictions role in establishing the centroperipheral relationship between Israel (the Zionist center) and the diaspora, as well as the concomitant possibility for Jewish diasporic fiction to challenge, trouble, and discard this relationship. I argue that any work of Jewish fiction that concerns itself with Israel/Palestine and Zionism has a number of heightened responsibilities, primarily the making of narrative space for the Palestinian narrative/worldview, the dispossessed other of the Zionist project. Cumulatively, the primary texts underscore the level to which Zionist narratives and myths have infiltrated the Jewish world, and gestures to how we can move beyond the violent fallout of national thinking, towards the ethical alternative of diaspora, where collective life is not predicated on sole ownership of land, xenophobia, militaries, or hegemonic power structures. In the dissertations conclusion, where I briefly look at two novels by Palestinians living in diaspora (Randa Jarrar, Susan Abulhawa), I adhere to the idea that the Zionist settler colonization of Palestine has led to a powerful, if currently violently uneven, bond between the two peoples, one that fiction can, and should, have a role in mending.

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)0.002
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 score0.103
Threshold uncertainty score0.302

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0230.014
Scholarly communication0.0060.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.158
Teacher spread0.145 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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