Ever closer partnership : policy-making in US-EU relations
Bibliographic record
Abstract
In 1990, the signature of the Transatlantic Declaration marked the formal recognition of the European Community as the third main element in the transatlantic institutional architecture, alongside NATO and bilateral relationships. Five years later, US-EU relations took another major step forward with the adoption of a 'New Transatlantic Agenda' (NTA). This volume puts this evolution into historical perspective by identifying the enduring features of the relationship. At the dawn of the Bush administration and in the wake of the Nice Treaty, it also makes a bold attempt at assessing the current state of US-EU relations, notably by taking stock of the changes introduced via the New Transatlantic Agenda. Aimed at practitioners and academics alike, and going well beyond a general overview of transatlantic relations, it first explores the evolution of structures and processes in US-EU relations while paying special attention to the policy-shaping and policy-making strategies of public and private actors. Focusing on the post-NTA record, it then endeavours to assess, explain and evaluate the policy outcomes of EU-US relations. Leading authors and practitioners in the field took part in the elaboration of this book: Maria Green Cowles, Youri Devuyst, Thomas Frellesen, Anthony Gardner, Roy Ginsberg, Alan Henrikson, John Peterson, Alberta Sbragia, Rene Schwok, Michael Smith.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".