European New Legal Realism and International Law: How to Make International Law Intelligible
Bibliographic record
Abstract
Abstract International law remains in many ways a challenge to legal science. As in domestic law, the available options appear to be exhausted by either internal doctrinal approaches, or external approaches applying more general empirical methods from the social sciences. This article claims that, while these major positions obviously provide interesting insights, none of them manage to make international law intelligible in a broader sense. Instead, it argues for a European New Legal Realist approach to international law accommodating the so-called external and internal dimensions of law in a single more complex analysis which takes legal validity seriously but as a genuinely empirical object of study. This article constructs this position by identifying a distinctively European realist path which takes as its primary inspirations Weberian sociology of law and Alf Ross’ Scandinavian Legal Realism and combines them with insights originating from Bourdieusian sociology of law.
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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 | 0.025 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.004 | 0.050 |
| Scholarly communication | 0.015 | 0.019 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".