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Record W4380785397 · doi:10.17645/pag.v11i3.6817

Temporary Protection in Times of Crisis: The European Union, Canada, and the Invasion of Ukraine

2023· article· en· W4380785397 on OpenAlexaffabout
Catherine Xhardez, Dagmar Soennecken

Bibliographic record

VenuePolitics and Governance · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsYork UniversityUniversité de Montréal
Fundersnot available
KeywordsDirectivePolitical scienceEuropean unionImmigrationPoliticsImmigration policyPublic administrationPolitical economyInternational tradeLawBusinessSociology

Abstract

fetched live from OpenAlex

<p>The Russian invasion of Ukraine in February 2022 triggered a major displacement crisis. In an unprecedented move, the European Union activated the 2001 Temporary Protection Directive to give those fleeing the conflict temporary protection, marking the first use of the directive in 20 years. Meanwhile, Canada announced its readiness to accept an unlimited number of Ukrainians and launched the Canada–Ukraine Authorization of Emergency Travel to fast-track their arrival. This article compares the policy responses of the EU and Canada to the crisis in Ukraine, focusing on the two temporary protection schemes and differentiating between their overarching goals, policy instruments, and settings. While the policies may seem similar at first, we show that a closer examination reveals underlying disparities, contradictions, and complexities, particularly when analyzing the precise policy instruments and settings. Considering that contemporary policy trajectories are informed by the past, we suggest that while the two programs build on the respective regions’ historical and political contexts, crises also create opportunities for change, raising questions about the future direction of immigration policy in both regions.</p>

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 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 score0.887
Threshold uncertainty score0.125

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 communication0.0000.000
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 head0.014
GPT teacher head0.236
Teacher spread0.223 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations9
Published2023
Admission routes2
Has abstractyes

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