Bibliographic record
Abstract
Secrecy and informality rather than transparency traditionally reign trade negotiations at the bilateral, regional, and multilateral levels. Yet, transparency ranks among the most basic <italic>desiderata</italic> in the grammar of global governance and has been regarded as positively related to legitimacy. In the EU’s case, transparent trade diplomacy is quintessential for constitutional—but also for broader political—reasons. First, even if trade matters fall within the EU’s exclusive competence, the EU executive is bound by the Treaty on the Functioning of the European Union (TFEU) to inform the European Parliament, the EU co-legislator, in regular intervals. Second, transparency at an early stage is important to address public reluctance, suspicion, or even opposition regarding a particular trade deal. This chapter chronicles the quest for and turning moments relating to transparency during the EU trade negotiations with Canada (CETA); the US (TTIP), and various WTO members on services (TiSA).
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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 | 0.000 | 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 | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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".