The approximation of EC law in the Czech Republic : transposiiton or transformation?
Bibliographic record
Abstract
A BSTRACTThis thesis examines the process of approximating EC law that the Czech Republic has undertaken both under the Europe Agreement and in order to fulfill one of the conditions for membersrup in the European Union.The thesis aims to determine whether the transposition of EC legislation has been undertaken with a view to effective implementation of the acquis communautaire and to assess what implications this process will have for the Czech Republic.To this end, three are as of law which are subject to approximation are examined, namely competition law, environmental law and company law.Accordingly, Chapter 1 provides a general overview of the process of approximation and the challenges it poses for the Czech Republic.The process of approximation in the field of competition law is examined in Chapter II, followed by environmental law in Chapter III.The area of company law is addressed in Chapter IV.FinaUy, Chapter V concludes with an analysis of the findings of the previous chapters with a discussion of the implications of approximation for the legal order ofthe Czech Republic.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.015 | 0.006 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.012 | 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".