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Record W3111039645 · doi:10.36770/bp.472

Crossing Borders: Turkish Asylum Policies and Displaced Syrians’ Journeys in and away from Turkey

2020· article· en· W3111039645 on OpenAlexaff
Deniz Kilinc

Bibliographic record

VenueBibliotekarz Podlaski Ogólnopolskie Naukowe Pismo Bibliotekoznawcze i Bibliologiczne · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsQueen's University
Fundersnot available
KeywordsTurkishRefugeePoliticsVulnerability (computing)Political scienceSyrian refugeesInternally displaced personForced migrationWork (physics)Political economyDevelopment economicsSociologyLawEconomics

Abstract

fetched live from OpenAlex

In recent years, economic, political and ecological crises throughout the world have created a monumental human flux, forming new migratory routes, spaces and challenges. As a result of these movements, distinct geographical, political, and social borders are formed and crossed, giving life to unique journeys with distinct stories. The current paper presents observations from field research and a creative expression intervention (conducted in 2015–2016) with Syrian displaced people in Turkey to illustrate the mutual relationship between Turkish asylum policies and the movements of Syrian migrants in and away from Turkey. It unpacks three different routes to contextualize the ways in which the availability and the characteristics of labour shape the mobility of displaced Syrians in Turkey. In examining the movements of people and communities through the lens of political and economic dynamics, the paper argues that displaced Syrians’ mobility is largely shaped by Turkish refugee policies, which deny migrants access to legal work and condemn them to vulnerability and destitution.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.008
Scholarly communication0.0060.003
Open science0.0010.006
Research integrity0.0010.001
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 head0.035
GPT teacher head0.331
Teacher spread0.296 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueBibliotekarz Podlaski Ogólnopolskie Naukowe Pismo Bibliotekoznawcze i BibliologiczneSame topicMigration, Refugees, and IntegrationFrench-language works237,207