Hluboké a komplexní dohody o volném obchodu jako nástroj obchodní politiky EU
Bibliographic record
Abstract
Presented master's thesis deals with comprehensive free trade agreements (CFTA) and deep and comprehensive free trade agreements (DCFTA) concluded or proposed by the European Union. Its objective is to identify necessary conditions for initiation of (D)CFTA negotiation, determine areas covered by (D)CFTAs and contemplate an effect of (D)CFTAs on EU's position. In the first part of master's thesis, theoretical framework needed for research is introduced. The concept of soft power as defined by Joseph Nye is presented. The inductive method is applied to scrutinize comprehensive free trade agreements between the EU and Canada, Colombia, Ukraine, Moldova, Georgia, and Tunisia, respectively. The research proved that the EU has never started DCFTA negotiation with an authoritarian regime. However, it is not a single condition for initiation of DCFTA negotiation, and four more conditions are defined. A broad scope of (D)CFTAs beyond tariff-related issues is demonstrated. DCFTA and CFTA differ about their relation to EU acquis. Approximation in selected areas is compulsory under DCFTA. Trough CFTAs, the EU was able to uphold EU and international standards and promote fundamental rights. Consequently, the EU's soft power has been enhanced thanks to (D)CFTAs.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".