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Record W4285026814 · doi:10.22215/etd/2022-15020

The Second Promised Land: Exploring the Secondary Migration of Soviet Jews from Israel to Canada

2022· dissertation· en· W4285026814 on OpenAlexaffabout
Yana Brion

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsSoviet unionJudaismHuman capitalMass migrationJewish identityPolitical scienceEmigrationImmigrationHuman migrationCapital (architecture)Economic historyGeographyGenealogyDevelopment economicsHistoryEconomyPolitical economyAncient historySociologyEconomic growthPopulationLawEconomicsDemographyArchaeology

Abstract

fetched live from OpenAlex

Between 1989 and 2009, over a million Jews left the former Soviet Union and arrived in Israel.One in six later chose to leave Israel, with many arriving in Canada.This strong pattern of onward migration occurred despite Soviet Jews being well-integrated by standard measures.The pattern is only partially explained by existing theory and push factors in Israel, including security concerns or economic and socio-cultural factors.It is better explained through the addition of key characteristics of Soviet Jews as multipliers on push-pull factors, including low ties to Israel, high economic human capital, and human capital from previous migration experience.Examining the responses of Soviet Jews who engaged in onward migration to Canada contributes to the current understanding of Jewish identity, and to existing theory on migration, characterizing it not as a unidirectional process with a concrete terminus but as a lifelong, ongoing process with multiple possible outcomes. Chapter 1 -IntroductionWhen exit visas finally made their way to Jewish applicants in the Soviet Union, they were put to use.While the departure of Soviet Jews was limited in earlier decades, largely due to government refusal to grant permission and emigration paperwork, from the 1970s onwards Jews in the Soviet Union departed their home country in rapidly increasing numbers.Early departures, between the 1970s and 1988, numbered approximately 291,000 people, with the majority (165,000) selecting Israel as their destination country. 1 This initial wave was dramatically eclipsed by the next wave of Jewish emigration from the USSR, which began to surge just two years before the Soviet Union's collapse in December 1991.In a twenty-year span between 1989 and 2009, over 1.6 million Jews left the USSR and the countries encompassed by the defunct union, with the majority again choosing Israel (1 million).2 The sheer size of this later wave of movement led to significant impacts on all aspects of the diaspora.This included the Jewish communities in the former Soviet states, the population and development of Israel as a Jewish state, and the communities formed by emigrants in other countries, including Canada.However, while the overwhelming majority of the Soviet Jews initially moved to Israel, a new trend emerged a decade later: they were leaving Israel, just as they had left the USSR.Some returned to the post-Soviet states, and thus returned 'home.'However, many others chose to migrate to a new, third country and go through the arduous process of moving countries and integrating a second time.This was caused by a variety of factors commonly found as struggles in immigrant communities: difficulties with language or career acquisition, struggles with the 1.Mark Tolts, "Demography of the Contemporary Russian-Speaking Jewish Diaspora," in The New Jewish Diaspora: Russian-Speaking Immigrants in the United States, Israel, and Germany, ed.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.378

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0120.003
Scholarly communication0.0050.001
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.028
GPT teacher head0.267
Teacher spread0.240 · 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".

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Citations0
Published2022
Admission routes2
Has abstractyes

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