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Record W2493233518 · doi:10.1017/npt.2016.8

Forced migration, citizenship, and space: the case of Syrian Kurdish refugees in İstanbul

2016· article· en· W2493233518 on OpenAlexaff
Gülay Kılıçaslan

Bibliographic record

VenueNew Perspectives on Turkey · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsYork University
Fundersnot available
KeywordsCitizenshipRefugeeSyrian refugeesForced migrationPolitical scienceSpace (punctuation)Gender studiesGeographySociologyLawPoliticsPhilosophy

Abstract

fetched live from OpenAlex

Abstract The influx of hundreds of thousands of people from Syria to Turkey, especially into major cities such as İstanbul, together with the Turkish government’s policies towards Syrian refugees, has led to various changes in urban spaces. This article has a twofold objective: it examines and discusses the everyday lives of these refugees with regards to the processes and mechanisms of their exclusion and inclusion in İstanbul, while employing a multiscalar analysis of migration in terms of combining nation-state policies of migration, citizenship, space, and the concept of the “right to the city.” Relying upon interviews and participant observation in the Kanarya and Bayramtepe neighborhoods of İstanbul between 2011 and 2015, I outline the ways in which Syrian Kurdish refugees have been actively transforming İstanbul’s peripheries through their interactions with the Kurds who were forcibly displaced from their rural homes in southeastern Turkey in the 1990s.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0220.015
Scholarly communication0.0060.003
Open science0.0020.009
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.012
GPT teacher head0.298
Teacher spread0.285 · 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 designObservational
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

Citations24
Published2016
Admission routes1
Has abstractyes

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