Bibliographic record
Abstract
National courts today find themselves ever more confronted with issues that are borderless, and sometimes global. This Chapter looks at the past of the common law and some aspects of its origins, evolution, and characteristics. The common law, which has come to define a conception of law standing in stark contrast to that of the Continental European civilian legal orders, including none more so than France’s, has been an irony of fate in its evolution, consolidated and strengthened as it was through the efforts of a Norman French king. If we think of matters calling most urgently for transnational solutions, do the origins of the common law suggest differences of a nature that would create insuperable obstacles to a new jus commune? Methodologically, the civil and common law systems continue to clash. Yet the questions their courts face today are increasingly issues of jurisdiction, of the reach of domestic courts beyond the territories that define national sovereignty. We already have seen innovative strides by courts in numerous states in recent years to meet the needs of transnationalizing law. With increasing comprehension can come harmony and fruitful mutual consultation, if humanity decides that it wishes to proceed towards this goal.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.021 | 0.005 |
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".