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Record W4408122419 · doi:10.33137/wij.v20i2.45035

Indian Baghdadi Jews in Literature: A Murder, a Prostitute, and a Drug Dealer

2025· article· en· W4408122419 on OpenAlexvenueno aff
Sayan Lodh

Bibliographic record

VenueWomen in Judaism A Multidisciplinary e-Journal · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDrugHistoryCriminologyMedical emergencyMedicinePsychologyPsychiatry

Abstract

fetched live from OpenAlex

The article examines the depiction of female Baghdadi Jewish characters in three works: Gay Courter’s English novel Flowers in the Blood (2002), Saadat Hasan Manto’s Urdu short story Mozelle (1951), and Sharadindu Bandyopadhyay’s Bengali story Makorshar Rosh (1933). It explores a murder case from Calcutta Jewry through the eyes of Courter’s protagonist Dinah Sassoon, a prevalent vice among the poorer Baghdadis through the character of a Jewish prostitute, Mozelle, and the role of Baghdadis in drug-trafficking through the character of Rebecca Light. The 21st century novel offers a nuanced understanding of characters, while the earlier short stories reflect their authors’ stereotypical understanding of their contemporary society.

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: none
Teacher disagreement score0.043
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0250.016
Scholarly communication0.0080.002
Open science0.0010.003
Research integrity0.0020.003
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 head0.010
GPT teacher head0.296
Teacher spread0.286 · 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
Published2025
Admission routes1
Has abstractyes

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