The regulation of lobbying in the CR - recommendations based upon foreign experience
Bibliographic record
Abstract
Lobbying regulation in the Czech Republic - recommendations based on international experience Summary Lobbying is a natural part of contemporary globalized world, where political interests meet intensively with the economic and other private interests. In order to strengthen the principles, especially transparency and responsibility, some countries adopt lobbying regulation. The USA, Canada, Poland, Hungary, Lithuania and the EU institutions approach to lobbying in some aspects in the same way, in many other aspects they approach to it very differently. Different historical and socio-economical experience of these entities has, often substantial, influence on the differences of their regulation approach. The Czech Republic shares with many mentioned countries the experience of post- communist state, which does not have long democratic political culture and which has many problems with corruption in the public decision-making process. Lobbying regulation under Czech conditions is therefore necessary for raising transparency and responsibility of politicians. During the preparation of the future regulation, it is necessary to respect recmmendations of the international organizations and to thoroughly analyze experience of other states. The necessary parts of the future law should be especially: clear...
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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 | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.013 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".