CORELAREA NORMELOR JURIDICE ÎN SISTEMUL DE DREPT AL STATELOR UNITE ALE AMERICII
Bibliographic record
Abstract
Common-Law is the second great contemporary legal system. This legal system is theproduct of a long evolution, under the specific conditions of the British Isles, the expression of a legal mentalitydifferent from the one encountered on the European continent, which asserted itself due to the British colonialexpansion on wide territories in Africa, Asia, America and which have preserved after the independence theinheritance of the Common-Law system. Nowadays Common-Law is enforced in England, Wales, Ireland (butnot in Scotland which has a legal system of its own), in U.S.A. (except for Louisiana), in Canada (except for theprovince of Quebec), in Australia, New Zeeland etc.We consider it important to make a general analysis of the characteristic features of the Anglo-Saxonlegal family and of their influence on the correlation and interaction of the legal norms that make up this family.The aspects regarding the correlation of the legal norms shall obviously be analyzed in terms of thedetermination of the role and place of the law roots they are included in within the law roots system.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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".