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Record W3164818095 · doi:10.1111/ssqu.13010

Brexit, COVID‐19, and attitudes toward immigration in Britain

2021· article· en· W3164818095 on OpenAlex

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

VenueSocial Science Quarterly · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPopulism, Right-Wing Movements
Canadian institutionsMcMaster UniversitySimon Fraser University
Fundersnot available
KeywordsBrexitImmigrationReferendumPandemicContext (archaeology)Political scienceDemographic economicsEuropean unionCoronavirus disease 2019 (COVID-19)NegotiationFeelingPoliticsDevelopment economicsSociologySocial psychologyPsychologyGeographyEconomicsMedicineLawInternational trade

Abstract

fetched live from OpenAlex

OBJECTIVE: A key issue in Britain's referendum on European Union membership was the free movement of labor into Britain, with Brexit "Leavers" having more negative attitudes toward immigrants than "Remainers." Such anti-immigrant attitudes are driven by feelings of threat. The coronavirus pandemic presented a new threat in the context of ongoing Brexit negotiations. This paper examines how the COVID-19 pandemic affected anti-immigrant attitudes and how these effects differ between Leavers and Remainers. METHODS: Using an online survey in Spring 2020 of 3,708 individuals residing in the UK, we experimentally test the effect of priming COVID-19 thoughts on anti-immigrant attitudes, and examine whether this effect varies by Brexit identity. RESULTS: We show that COVID-19 may exacerbate anti-immigrant attitudes among Leavers while having little effect on Remainers. CONCLUSION: These findings support the idea that the coronavirus pandemic might have presented a new, viral, threat that heightened anti-immigrant attitudes among certain political identities.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.509
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
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 head0.034
GPT teacher head0.370
Teacher spread0.335 · 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