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What Does It Mean to Control Migration? Soviet Mobility Policies in Comparative Perspective

2012· article· en· W1579256389 on OpenAlexaff
Matthew Light

Bibliographic record

VenueLaw & Social Inquiry · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEmigrationBureaucracyAuthoritarianismPoliticsPolitical scienceSoviet unionPolitical economyOptimal distinctiveness theoryInternal migrationState (computer science)ImmigrationDevelopment economicsSociologyDeveloping countryEconomic growthEconomicsLawDemocracy

Abstract

fetched live from OpenAlex

The migration policies of the former Soviet Union (or USSR) included a virtual abolition of emigration and immigration, an effective ban on private travel abroad, and pervasive bureaucratic controls on internal migration. This article outlines this Soviet package of migration controls and assesses its historical and international distinctiveness through comparison with a liberal state, the United States, and an authoritarian capitalist state, Apartheid South Africa. Soviet limitations onexternalmigration were more restrictive than those of contemporary capitalist states, and Soviet regulation ofinternalmigration was unusual in its direct bureaucratic supervision of the individual. However, Soviet policy did not aim at the suppression of internal migration, but at its complete regularization. The ultimate goal was “regime adherence”: the full integration of the citizen into the Soviet political order. In contrast to the USSR, migration in the contemporary world is marked by “irregularization”: policies that lead to the proliferation of insecure and unauthorized migration.

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)0.002
metaresearch head score (Gemma)0.002
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: none
Teacher disagreement score0.011
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.011
Scholarly communication0.0050.004
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.071
GPT teacher head0.414
Teacher spread0.343 · 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".

Quick stats

Citations66
Published2012
Admission routes1
Has abstractyes

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