The Politics of Transatlantic Trade Negotiations: TTIP in a Globalized World
Bibliographic record
Abstract
By focusing on the wider process of negotiations, this novel volume presents the first systematic analysis of the Transatlantic Trade and Investment Partnership (TTIP). The authors include scholars and practitioners from across disciplines and various academic institutions around Europe and North America, but also from outside of the transatlantic basin. While presenting a thorough examination of the process of TTIP negotiations, the volume is divided into four parts with each part examining a broader theme and offering three or four shorter exploratory chapters that are accessible to academics, students, policy-makers and a wider audience. The volume explores historical and theoretical aspects of TTIP (with chapters by Gamble, Keohane and Morse, Telò), the beginnings of the TTIP talks and the role of individual actors (Mayer, Novotná, Dür and Lechner, Strange), TTIP’s possible knock-on effects and consequences for third parties (Aggarwal and Evenett, Duchesne and Ouellet, Zhang, Ponjaert) as well as impact on multilateral institutions and regimes complexes (Mavroidis, Mortensen, Meunier and Morin, Pauwelyn). The authors highlight dynamics which underline the relationship between the United States and the European Union and argue that TTIP promises to have vast implications not just for economics but global governance and international system. Contributors include Andrew Gamble, Robert Keohane, Julia Morse, Hartmut Mayer, Andreas Dür, Lisa Lechner, Michael Strange, Vinod Aggarwal, Simon Evenett, Erick Duchesne, Richard Ouellet, Zhang Xiaotong, Petros C. Mavroidis, Jens Mortensen, Sophie Meunier, and Joost Pauwelyn
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.005 | 0.014 |
| Scholarly communication | 0.021 | 0.016 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".