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Record W4403438548 · doi:10.1017/s1474746424000241

You Are Safe Here: Community Sponsorship Policy and Refugee Integration in the UK

2024· article· en· W4403438548 on OpenAlexaboutno aff
Sara Hassan, Jenny Phillimore, Gabriella D’Avino

Bibliographic record

VenueSocial Policy and Society · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeePolitical sciencePublic administrationLaw

Abstract

fetched live from OpenAlex

Abstract Globally, resettlement is considered one of the most durable solutions for refugees. The UK has introduced a Community Sponsorship Scheme that enables communities to resettle refugee families providing them with enhanced integration support aided by volunteers. This paper investigates the nature of integration support that sponsored refugees receive utilising the analytical framework of UK’s Indicators of Integration (IoI). Data was collected from interviews with refugee adults resettled in diverse and less diverse areas. Our findings illustrate the importance of support given by volunteer groups to enable access to resources and connections. We establish that there is much potential for sponsorship programmes to add value to refugee support suggesting that the current expansion of sponsorship from its Canadian roots may help facilitate refugee integration. However, further research is needed to uncover the long-term experiences of sponsored refugees and to compare their outcomes to those of forced migrants arriving via different mechanisms.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.243
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.058
GPT teacher head0.364
Teacher spread0.306 · 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.

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

Citations0
Published2024
Admission routes1
Has abstractyes

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