Comparative, global and transnational constitutionalism: The emergence of a transnational legal-pluralist order
Bibliographic record
Abstract
Abstract Comparative lawyers have for more than a century sought to increase the understanding of ‘foreign’ legal orders and regulatory systems. Despite some never fully resolved methodological questions, great advances have been made in the comparative study of different regulatory areas both in ‘private’ (contract, tort, corporate, labour) and ‘public’ law (administrative law, environmental law). Comparative constitutional law [CCL] has emerged as a field with particular significance. Born in the context of a politically extremely divided world after the Second World War, CCL has undergone tremendous change in an economically fast-integrating world since the late 1980s. The distinction between ‘liberal’ and ‘socialist’ constitutional orders that characterized early monographical treatments of the subjects has since given way to a very incoherent landscape of varieties of constitutionalism , with enormous consequences for the task of comparative constitutional law. Rather than being able to set side-by-side distinct doctrinal instruments or legal principles that can be associated with a particular constitutional system, the emerging transnational legal-pluralist order demands a methodologically radically opened and methodologically interdisciplinary approach to capture the dynamics of constitutionalization, which characterize today’s processes of public-private norm creation and diffusion.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.044 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".