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Record W4389238240 · doi:10.1080/1369183x.2023.2269785

The domestic politics of selective permeability: disaggregating the Canadian migration state

2023· article· en· W4389238240 on OpenAlexaffabout
Triadafilos Triadafilopoulos, Zack Taylor

Bibliographic record

VenueJournal of Ethnic and Migration Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsWestern UniversityUniversity of Toronto
Fundersnot available
KeywordsPoliticsDemocracyPolitical economyPolitical scienceState (computer science)DecentralizationOpenness to experienceDevelopment economicsEconomicsLaw

Abstract

fetched live from OpenAlex

Hollifield’s ‘migration state’ concept draws attention to the political tension between openness and closure in liberal-democratic countries, arguing that domestic migration policy regimes represent an equilibrium outcome between security, rights, markets, and culture. This overstates national strategic control over migration and borders. Through a case study of recent developments in Canada, sometimes held up as the paradigmatic centralised liberal migration state, we present evidence of growing policy blurring, fragmentation, and decentralisation as migration management programmes have been patched and layered in response to controversies and pressure from domestic interests, including employers, higher education institutions, advocacy groups, and subnational governments. As a result, volumes of temporary foreign workers and foreign students have increased tenfold since 2000. More generally, we propose that a strategy of disaggregation reveals the internal complexity of, and political tensions within, contemporary migration states.

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)0.006
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 score0.099
Threshold uncertainty score0.717

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0200.018
Scholarly communication0.0090.003
Open science0.0010.007
Research integrity0.0010.002
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 head0.059
GPT teacher head0.395
Teacher spread0.336 · 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

Citations15
Published2023
Admission routes2
Has abstractyes

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