Brexit and mutual trade between the Czech Republic and the United Kingdom
Bibliographic record
Abstract
This bachelor thesis deals with the current issue of leaving the United Kingdom of Great Britain and Northern Ireland from the European Union, assesses the possible impact of Brexit on mutual trade between the Czech Republic and the United Kingdom and evaluates its possible impact on the Czech economy. After a brief overview of the history of the UK membership in the EU, a description of the complicated EU and UK negotiations follows. Another chapter deals with some studies and analyzes evaluating the impact of Brexit on the British economy. The following discussion concerns negotiated Withdrawal Agreement and some possible EU-UK mutual relation models after finishing the transition period - membership in the European Economic Area (Norwegian model), negotiation of a free trade agreement (Swiss model, Canadian model), withdrawal without agreement (hard Brexit). The UK is one of the most important export partners of the Czech Republic, which results from the evaluation of mutual trade exchange data. In the final part, this thesis examines the possible influence of the decline of the British economy consumption on GDP of the Czech Republic using the Input- Output analysis and evaluates the potential impact of Brexit on the mutual trade between the Czech Republic and the UK in the automotive industry....
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".