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Record W1968516426 · doi:10.1163/187247110x521272

Ale Brider: Yiddish Culture in Montreal and New York City

2010· article· en· W1968516426 on OpenAlexaffabout
Rebecca Margolis

Bibliographic record

VenueEuropean Journal of Jewish Studies · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsYiddishThe HolocaustImmigrationJewish cultureHistoryPublishingJudaismJewish studiesSociologyMedia studiesPolitical scienceLawArchaeology

Abstract

fetched live from OpenAlex

As a minor centre in transnational pre-Holocaust Yiddish culture, Montreal aligned itself with major centres, in particular the nearby metropolis of New York City. This study examines the relationship between Yiddish Montreal and Yiddish New York City from the very beginnings of eastern European Jewish immigration in the 1880s through the Second World War, with a particular focus on publishing and literary life. It compares the two cities and presents theatre as an area of Montreal’s ongoing dependence on New York City. It discusses the interconnected spheres of publishing and literary life as presenting a more complex and evolving relationship between the minor and major city. Here Montreal’s literary culture evolved from a dependent of New York City towards a position of maturity and active exchange. Montreal’s emergence as a primary centre of Yiddish culture after the Holocaust forms part of a process of maturation vis-à-vis the wider Yiddish world, notably New York City. The study also posits that during this ongoing evolution of the Montreal-New York City relationship, the bonds between the cities remained much stronger than the ties between Yiddish and non-Yiddish Canadian culture.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.241

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0110.006
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.036
GPT teacher head0.258
Teacher spread0.222 · 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
Published2010
Admission routes2
Has abstractyes

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