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Record W2736357948 · doi:10.54648/eerr2017026

CETA as a Potential Model for (Post-Brexit) UK-EU Relations

2017· article· en· W2736357948 on OpenAlexaboutno aff
Nanette Neuwahl

Bibliographic record

VenueEuropean Foreign Affairs Review · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Development and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsBrexitInternational tradeSingle marketInternational economicsEconomicsPolitical scienceEuropean union

Abstract

fetched live from OpenAlex

CETA, the Comprehensive Economic and Trade Agreement between the EU and Canada, is a useful model for post-Brexit trade relations between the UK and the EU. In this article it is argued that what could tentatively be called a CC-CETA (Comprehensive Cross-Channel Economic and Trade Agreement), would bring distinct benefits to the UK (and the EU) in partial replacement of the Single Market relationship. After considering other options, recommendations for the conclusion of such a CC-CETA are made. The question of how CETA itself could be affected by the conclusion of such an agreement, and the pre-emptive effect of a CC-CETA on the relations between Canada and the UK are equally considered.

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)0.005
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.038
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0030.009
Scholarly communication0.0080.008
Open science0.0020.005
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0110.002

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 head0.059
GPT teacher head0.349
Teacher spread0.290 · 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 designNot applicable
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

Citations16
Published2017
Admission routes1
Has abstractyes

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