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Record W2902573670 · doi:10.1080/13629395.2018.1549785

The governance of Syrian refugees in Turkey: The state-capital nexus and its discontents

2018· article· en· W2902573670 on OpenAlex

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.

Bibliographic record

VenueMediterranean Politics · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsUniversité Laval
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsRefugeeTurkishNexus (standard)State (computer science)Corporate governanceCapital (architecture)Convergence (economics)Political scienceEconomicsEconomyPolitical economyLawEconomic growthGeographyFinance

Abstract

fetched live from OpenAlex

This article argues that the convergence of state policies and the interests of capital and business owners are central to the understanding of the governance of Syrian refugees in Turkey. Drawing on fieldwork in Ankara, Gaziantep, Hatay and Izmir, collected between 2016 and 2018, this article shows that the terms of Turkish state’s temporary protection regime, the state’s ad hoc leniency towards the informal use of refugee labour and the disciplinary effects of the laws complies with the economic expectations of business and capital owners. This article also sheds light on the structural limitations that the state-market convergence places on civil actor’s ability to make improvements to the overall living and working conditions of Syrians in Turkey. The overall analysis points to the fact that the governance of Syrian refugees in Turkey could be conceived as yet another manifestation of the vital role that the state plays in the pursuits of capital.

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)0.001
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 score0.666
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.037
GPT teacher head0.300
Teacher spread0.263 · 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