From Norms to Facts: The Realization of Rights in Common and Civil Private Law
Bibliographic record
Abstract
Every legal system that ties judicial decision making to a body of preconceived norms has to face the tension between the normative formulation of the ideal and its approximation in social reality. In the parlance of the common law, it is, more concretely, the remedy that bridges the gap between the ideal and the real, or, rather, between norms and facts. In the common law world—particularly in the United Kingdom and the Commonwealth—a lively discourse has developed around the question of how rights relate to remedies. To the civilian legal scholar—used to thinking within a framework that strictly categorizes terms like substance and procedure, subjective right, action, and execution—the concept of remedy remains a mystery. The lack of “remedy” in the vocabulary of the civil law is more than just a matter of attaching different labels to functional equivalents, it is the expression of a different way of thinking about law. Only if a legal system is capable of satisfactorily transposing the abstract discourse of the law into social reality does the legal machinery fulfill its purpose: due to the pivotal importance of this translational process, the way it is cast in legal concepts thus allows for an insight into the deep structure of a legal culture, and, convergence notwithstanding, the remaining epistemological differences between the legal traditions of the West. A mixed jurisdiction must reflect upon these differences in order to understand its own condition and to define its future course.
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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 | 0.013 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.105 |
| Scholarly communication | 0.014 | 0.020 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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".