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Record W2160467881 · doi:10.1017/s0364009406000110

<scp>Mediating Judaism: Mind, Body, Spirit, and Contemporary North American Jewish Fiction</scp>

2006· article· en· W2160467881 on OpenAlexaffabout
Sara R. Horowitz

Bibliographic record

VenueAJS Review The Journal of the Association for Jewish Studies · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsYork University
Fundersnot available
KeywordsJudaismNarrativeAcculturationDistancingLiteratureHistoryNegotiationJewish cultureImmigrationSociologyAestheticsArtSocial science

Abstract

fetched live from OpenAlex

That Jewish literature in North America is an altogether secular venue has long been regarded as a truism among many influential literary scholars. Indeed, for much of the twentieth century, the fiction of Jewish immigrants and their progeny wrote its way into American and Canadian culture through narratives that captured the process of acculturation by distancing itself from Jewish traditional practices, construed mockingly or nostalgically as relics of a European life left behind, a wellspring of historical or textual memories that oppress or elevate. The few departures from this trend—fiction that represents Judaic ritual and experience sympathetically, with complexity and depth—are exceptions that prove the rule: Chaim Potok’s novels, for example, beginning in the late 1960s and continuing through the close of the twentieth century, and a handful of women novelists negotiating Jewish feminism in stories and novels of the 1980s and 1990s.

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)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.034
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.009
Scholarly communication0.0040.002
Open science0.0010.001
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 head0.033
GPT teacher head0.306
Teacher spread0.273 · 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
GenreOther

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
Published2006
Admission routes2
Has abstractyes

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