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Record W2061885562 · doi:10.1017/s0007123412000051

Global Migration and Political Regime Type: A Democratic Disadvantage

2012· article· en· W2061885562 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBritish Journal of Political Science · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAutocracyDemocracyDivergence (linguistics)EmigrationPoliticsGlobalizationImmigrationDisadvantageDevelopment economicsOrder (exchange)Capital (architecture)EconomicsEconomic systemPolitical sciencePolitical economyEconomic geographyGeographyMarket economy

Abstract

fetched live from OpenAlex

An indicator of globalization is the growing number of humans crossing national borders. In contrast to explanations for flows of goods and capital, migration research has concentrated on unilateral movements to rich democracies. This focus ignores the bilateral determinants of migration and stymies empirical and theoretical inquiry. The theoretical insights proposed here show how the regime type of both sending and receiving countries influences human migration. Specifically, democratic regimes accommodate fewer immigrants than autocracies and democracies enable emigration while autocracies prevent exit. The mechanisms for this divergence are a function of both micro-level motivations of migrants and institutional constraints on political leaders. Global bilateral migration data and a statistical method that captures the higher-order dependencies in network data are employed in this article.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.863
Threshold uncertainty score0.587

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.330
Teacher spread0.317 · 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