Bibliographic record
Abstract
ii Abstrakt a 5 klíčových slov v anglickém jazyce Anglo-American, European, Islamic legal culture (comparative study) Abstract The aim of the J.D. qualification thesis is to describe the large legal systems and to analyze them in the form of a comparative study. The J.D. qualification thesis consists of six chapters. The first chapter contains the characteristics of large legal systems and their differentiation and, in addition to the compared legal cultures, it also briefly discusses African customary law, the customary law of the Indian subcontinent (based on the religious tradition of Hinduism and Buddhism) and Sino-Japanese legal culture. The second chapter focuses on the description of Anglo-American legal culture and its subsystems, especially English law, US law, Canadian law, legal systems of Australia and New Zealand. The third chapter deals with continental legal culture and its subsystems, specifically the French, Austrian, German, Swiss, Scandinavian, Latin American and European Union legal cultures. At the same time, this chapter briefly summarizes other important civil law codifications of European countries, such as the Netherlands, Romania and Russia. The fourth chapter is focused on the Islamic legal culture and the importance of religion in society. The main part of the J.D. qualification...
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".