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Record W2977275029 · doi:10.1111/imig.12649

Subnational Migration States and the New Politics of Immigration

2019· article· en· W2977275029 on OpenAlex
Mireille Paquet

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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Migration · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsConcordia University
FundersSocial Sciences and Humanities Research Council of CanadaFonds de Recherche du Québec-Société et Culture
KeywordsLegalizationImmigrationPoliticsPolitical scienceImmigration policyState (computer science)Political economyImmigration reformDevelopment economicsSociologyEconomicsLaw

Abstract

fetched live from OpenAlex

Abstract Using Catherine Dauvergne's The New Politics of Immigration and the End of Settler Society (2016) as a starting point, this article explores subnational policy dynamics in Canada, Australia and the United States. It considers whether the trends associated with legalization, two‐step programmes, rapid policy changes and economic discourses are present in Canadian provinces as well as in U.S. and Australian states. It shows that the forces described by Dauvergne contribute to a further rescaling of policymaking and to the emergence of subnational migration states. However, this article also demonstrates that this common movement varies in its consequences and identifies two central subnational policy responses typical of the new politics of immigration: 1) the “economic subnational migration state” (Canada and Australia) and 2) the “access subnational migration state” (United States). The models and the global trends described in this article have implications for immigration policymaking in federations.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.735
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.007
GPT teacher head0.275
Teacher spread0.268 · 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