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Record W3111853068 · doi:10.3917/pe.204.0013

Breaking up is hard to do Royaume-Uni et Union européenne après le Brexit

2020· article· fr· W3111853068 on OpenAlexaboutno aff
Florence Faucher, Colin Hay, Dominique David

Bibliographic record

VenuePolitique étrangère · 2020
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicEuropean Socioeconomic and Political Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesBrexitArtEuropean unionInternational tradeEconomics

Abstract

fetched live from OpenAlex

En dépit des postures, Royaume-Uni et Union européenne cherchent tous deux un accord. Mais la stratégie du bord du gouffre de Londres, et la maîtrise de Bruxelles sur le calendrier et le déroulement des négociations pourraient ne permettre qu’un « accord faute de mieux ». De style « australien » ou « canadien », un accord commercial de dernier moment aurait de rudes conséquences économiques pour le Royaume-Uni, dans le cadre d’un Brexit menaçant le système politique et l’unité même du Royaume 1 . politique étrangère

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)0.009
metaresearch head score (Gemma)0.017
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 score0.025
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0090.007
Scholarly communication0.0140.009
Open science0.0010.008
Research integrity0.0060.010
Insufficient payload (model declined to judge)0.0250.008

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 head0.088
GPT teacher head0.258
Teacher spread0.170 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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