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Record W4295804183 · doi:10.1177/14651165221123155

Where is the EU–UK relationship heading? A conjoint survey experiment of Brexit trade-offs

2022· article· en· W4295804183 on OpenAlexaff
Simon Hix, Clifton van der Linden, Joanna Massie, Mark Pickup, Justin Savoie

Bibliographic record

VenueEuropean Union Politics · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Environmental Valuation
Canadian institutionsSimon Fraser UniversityUniversity of TorontoMcMaster University
FundersEuropean Commission
KeywordsBrexitEuropean unionHeading (navigation)International economicsInternational tradeSingle marketSample (material)SovereigntyPolitical scienceEconomicsConjoint analysisBusinessPoliticsLawEngineeringPreference

Abstract

fetched live from OpenAlex

The Trade and Cooperation Agreement (TCA) is the start of a new relationship between the UK and the European Union (EU). As the consequences of Brexit unfold, there will be pressure to change the TCA, either in a “softer” or “harder” direction. To determine the potential medium-term direction of the EU–UK relationship, we conducted a conjoint survey experiment with a sample of British voters, where we asked them to choose between different hypothetical package deals. When faced with such choices, British citizens overall mostly support a softer relationship in which the UK applies EU regulatory standards in return for greater access to the single market. However, Leave voters most often support a much harder trade-off of full regulatory sovereignty but continued restrictions on UK exports.

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)0.016
metaresearch head score (Gemma)0.048
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.048
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0120.002

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 head0.143
GPT teacher head0.241
Teacher spread0.099 · 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

Citations11
Published2022
Admission routes1
Has abstractyes

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