Principles Governing Legal Systems
Bibliographic record
Abstract
Legal systems are collections of laws that have similar, stable elements, such as the common law system, which is made up of the legal systems of England, the United States, Canada, Australia, Ireland, and India, or the Roman-Germanic legal system, which is made up of the legal systems of France, Germany, Italy, Belgium, the Netherlands, Spain, and others. Certain principles govern these legal systems in order to determine the number of legal systems and to clarify the reasons for their distribution. The importance of examining the principles governing legal systems lies in the fact that it makes it clear to us why there are a certain number of legal systems in the world, and also clarifies the benefits of countries joining these systems. The purpose of examining this topic is to clarify the principles governing the world's legal systems and to clarify the differences in the distribution of the world's legal systems among jurists. The nature of this writing and research requires the use of a bibliographical and analytical method, because the material on the principles governing legal systems is available in books. I used them to analyze this material and then translate it into my own language. In this topic, I have come to the conclusion that there are four major legal families in the world, namely, the Islamic legal system, the Roman-Germanic legal system, the common law legal system, and the socialist legal system. And the principles governing these legal systems are: historical background, legal logic, specific legal foundations.
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 | 0.015 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.008 | 0.044 |
| Scholarly communication | 0.015 | 0.012 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.012 | 0.006 |
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".