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Record W3188007692 · doi:10.1080/15562948.2021.1955172

Return Aspirations of Syrian Refugees in Turkey

2021· article· en· W3188007692 on OpenAlex
Ayşegül Kayaoğlu, Zeynep Şahin Mencütek, M. Murat Erdoğan

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.

Bibliographic record

VenueJournal of Immigrant & Refugee Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsRefugeeNexus (standard)LivelihoodDevelopment economicsPolitical scienceEconomicsGeography

Abstract

fetched live from OpenAlex

Voluntary return is proposed as a durable solution for mass displacements, but little is known about how refugees perceive their options. This article discusses what drives the return aspirations of Syrian refugees in Turkey. Based on the analysis of quantitative and qualitative data (2017–18), it shows that many Syrians condition their return on the provision of security, regime change and livelihood opportunities in Syria. However, their integration in Turkey also matters, albeit paradoxically, for return aspirations. Specifically, perceived and experienced discrimination and socio-cultural distance influence aspirations. These emerge as indirect implications of the economic, social and cultural integration. This article shows the complexity behind the return issue by advancing the discussion on the role of origin country-related factors in refugees’ aspirations on the one hand, and the relevance of the integration into the host country on the other. Our findings contribute to further understanding of the return-integration nexus, particularly the impact of refugees’ socio-psychological experiences, in the protracted refugee situations.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.750
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.040
GPT teacher head0.353
Teacher spread0.313 · 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