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Record W4404205581 · doi:10.1007/978-3-031-74866-0_14

Cooperation for Containment: An Analysis of the EU-Türkiye Arrangements in the Field of Migration

2024· book-chapter· en· W4404205581 on OpenAlexaff
Orçun Ulusoy, Özgenur Yigit-Aksu, Meltem Ineli-Ciger, Gamze Ovacık

Bibliographic record

VenueInternational perspectives on migration · 2024
Typebook-chapter
Languageen
FieldSocial Sciences
TopicMiddle East and Rwanda Conflicts
Canadian institutionsMcGill University
Fundersnot available
KeywordsContainment (computer programming)Field (mathematics)Political scienceComputer scienceMathematics

Abstract

fetched live from OpenAlex

Abstract Due to its strategic location, Türkiye has been a transit country for most migrants and refugees and a necessary stop on their way to Europe. However, while Türkiye is a party to the 1951 Refugee Convention and the 1967 Protocol, it has limited its international law obligations to refugees fleeing “events occurring in Europe” and generally avoided regulating the field and establishing a national framework until early 2000s. Largely driven by the EU accession processes, Türkiye implemented legislative, institutional and policy reforms related to asylum and began making gradual changes to align its asylum and migration structures to the EU framework from 2001. Cooperation between the EU and Türkiye in the field of asylum and migration significantly changed with the so-called migration crisis in the EU in 2015. The EU-Türkiye Statement in 2016 which foresaw deliverance of one of the most significant financial assistances of the EU history relating to migrants, became a symbol -for both critics and supporters- of the EU external migration policies. This chapter based on the extensive fieldwork conducted in Türkiye between June and October 2021, analyses the political, legal and financial instruments through which the EU and Türkiye have cooperated in the field of migration and asylum between 2015 and 2021. The analysis focuses on the three main instruments: the EU- Türkiye Statement of March 2016, the EU- Türkiye Readmission Agreement, and the Facility for Refugees in Türkiye (FRiT) and these instruments are analysed on six points; transparency, accountability, conformity with international law, results, promoting containment or mobility and finally, the alignment with the Global Compact on Refugees (GCR).

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)0.006
metaresearch head score (Gemma)0.008
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0080.009
Scholarly communication0.0080.004
Open science0.0010.007
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.025
GPT teacher head0.342
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

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

Citations2
Published2024
Admission routes1
Has abstractyes

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