Bibliographic record
Abstract
The European Union’s (EU) external trade policy has long been championed by scholars and practitioners alike as one of the great accomplishments for European integration. The UK’s exit from the EU in 2020 offers many precedents; one of which is the current negotiation of a trade deal between the EU and a former important member of the single market. This paper outlines the trade negotiation process between the EU and the UK and the resulting Trade and Cooperation Agreement (TCA) against the backdrop of the COVID-19 pandemic to forecast the broader potential evolution of EU trade policy. The increasing visibility of nationalist and protectionist statements in various instances of political communication suggests a major shift in multilateral norms away from the liberal-international emphasis on heightened trade and interdependence. The implications for the EU external trade policy are a re-direction of efforts toward internal single market cohesion, and a more cautious approach to future potential trade agreements.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.010 | 0.029 |
| Scholarly communication | 0.025 | 0.012 |
| Open science | 0.001 | 0.015 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".