New generation trade agreements as an economic challenge for the European Union and its Member States – the case of CETA
Bibliographic record
Abstract
The so-called new-generation trade agreements, such as the CETA agreement signed by the EU and Canada, include not only the liberalization of trade in goods and the creation of a free trade area, but also many other areas, such as liberalization of the services market, including public services, mutual recognition of professional qualifications, deregulation and liberalization of financial markets, enhanced cooperation in the protection of intellectual property, and mutual investment protection. The considerations carried out in this work show that the analysis of the consequences of this type of agreements should be carried out not only at the level of the entire EU but also from the perspective of individual member states whose level of economic development and economic structures differ significantly. This is important for proper preparation for the entry into force of such an agreement, creating conditions for the full use of the opportunities arising from it and for adapting to the new market-specific situation and avoiding the greatest possible threats.
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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 | 0.013 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.013 | 0.010 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.013 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".