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Record W2903713548 · doi:10.18063/ijps.v4i1.457

Challenges to the integration of Syrian refugees

2018· article· en· W2903713548 on OpenAlexaboutno aff
Ernesto F. L. Amaral, Mahlet A. Woldetsadik, Gabriela Armenta

Bibliographic record

VenueInternational Journal of Population Studies · 2018
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeSyrian refugeesPolitical scienceRefugee crisisPoliticsEconomic growthDestinationsDevelopment economicsBusinessEconomicsTourism

Abstract

fetched live from OpenAlex

In this study, we provide an overview of the situation of Syrian refugees and other non-citizens living in host countries. We explored the cases of several countries: Turkey, which is one of the main destinations for refugees, flees the Syrian crisis; Germany and the United Kingdom, which are high-income countries where the public sentiment about refugees has changed over time; Greece and Italy, nations that share a close border with countries experiencing large refugee influxes; and Canada and Australia, which have had different approaches regarding inflows of refugees and do not share borders with countries that have significant outflows of migrants and refugees. Our review of policies suggests that the successful resettlement of Syrian refugees is dependent on political commitment that is coupled with public support and community engagement. Successful social and economic policies to address the refugee crisis demand a combined effort in terms of planning, implementing, monitoring, and assessing initiatives. Most importantly, record-keeping and sharing data with stakeholders need to be improved, which is a joint request of non-profit organizations and academic institutions.

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 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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.892
Threshold uncertainty score0.204

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.149
GPT teacher head0.480
Teacher spread0.332 · 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 teacher head, 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

Citations2
Published2018
Admission routes1
Has abstractyes

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