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Record W4234567650 · doi:10.1108/oxan-db238666

EU-UK Brexit talks will gain urgency

2018· other· en· W4234567650 on OpenAlexaboutno aff

Bibliographic record

VenueEmerald expert briefings · 2018
Typeother
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsBrexitSummitEuropean commissionIrishNegotiationPolitical sciencePrime ministerState (computer science)Government (linguistics)Member statePosition (finance)CommissionPolitical economyMember statesInternational tradeLawEuropean unionEconomicsPoliticsGeography

Abstract

fetched live from OpenAlex

Significance The summit represented an opportunity for UK Prime Minister Theresa May to discuss her Brexit plans directly with other heads of state and government rather than doing so via the European Commission’s Article 50 task force. Impacts The negative mood music from the Salzburg summit is weakening May’s position in her Conservative Party. The poor personal relationship between May and her Irish counterpart Leo Varadkar is complicating discussions on the Irish border. The unity of the EU27 could crumble once trade negotiations bring their divergent interests to the fore. The EU is maintaining its insistence that there can be no ‘hybrid model’ between Norway and Canada.

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)0.013
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.789
Threshold uncertainty score0.420

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0090.003
Scholarly communication0.0130.005
Open science0.0010.006
Research integrity0.0080.007
Insufficient payload (model declined to judge)0.1220.020

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 head0.017
GPT teacher head0.293
Teacher spread0.277 · 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
GenreCommentary

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
Published2018
Admission routes1
Has abstractyes

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