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Jews and the Courts 1900‒1945

2003· book-chapter· en· W3135828602 on OpenAlexaboutno aff
John Cooper

Bibliographic record

VenueLiverpool University Press eBooks · 2003
Typebook-chapter
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsJudaismQuarter (Canadian coin)Spanish Civil WarPolitical scienceLawWorld War IIHistory

Abstract

fetched live from OpenAlex

This chapter addresses Jews and the courts more generally between the early years of the twentieth century and the Second World War. Jews were keen litigants in the lower-level civil courts, particularly in the Whitechapel and Shoreditch county courts presided over from 1911 by Judge Albert Rowland Cluer. Although an able judge, Cluer possessed many foibles and prejudices, and the chapter assesses whether Jewish litigants had their cases fairly tried and whether they were adequately represented by the Jewish barristers who regularly appeared there. It also considers the small minority of Jewish businessmen who were charged at the Old Bailey and quarter sessions with credit fraud, fraudulent claims against insurance companies, and illegal share-pushing schemes. The number of Jewish bankruptcies was also high, for Jewish businessmen tended to be risk-takers and entrepreneurs, always seeking new opportunities in the market—and sometimes, in the process, exposing themselves to prosecution. After the Second World War, many moved into the urban property market or took over sluggish public companies with hidden assets.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.074
Threshold uncertainty score0.148

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.003
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.029
GPT teacher head0.214
Teacher spread0.185 · 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
Published2003
Admission routes1
Has abstractyes

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