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Record W3080578150 · doi:10.18357/bigr12202019562

The Label ‘Refugee’ and its Impacts on Border Policies

2020· article· en· W3080578150 on OpenAlexaffvenue
Claude Beaupre

Bibliographic record

VenueBorders in Globalization Review · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsRefugeeEuropean unionFreedom of movementPolitical sciencePolitical economyMeaning (existential)PerceptionPoliticsCentringRefugee crisisIllusionMember statesSociologyLawInternational tradeEconomicsPsychologyEngineering

Abstract

fetched live from OpenAlex

In this paper the authors adopt a constructivist approach to explain the efforts of reborderisation following the so-called ‘Refugee Crisis’ unfolding in the European Union after a sharp influx of refugees in 2015. One of the core principles of the European Union, the freedom of movement, is heavily challenged, through the perception of security threats and economic burden that is associated with the arrival of people seeking asylum in large numbers. Through a discourse analysis centring around the label ‘refugee’, which experienced a shift in meaning, this paper aims to display the driving social force that catalysed political actions to reintroduce borders between European Union Member States as a tool to recreate the illusion of control over the influx of people. Germany and France, as pioneers of the principle of freedom of movement in Europe, serve as empirical case studies for the efforts to reinstate control through reborderisation.

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)0.005
metaresearch head score (Gemma)0.007
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 score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0020.012
Scholarly communication0.0080.006
Open science0.0010.005
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.038
GPT teacher head0.388
Teacher spread0.350 · 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

Citations4
Published2020
Admission routes2
Has abstractyes

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