Comparative Law's Coming of Age? Twenty Years after<i>Critical Comparisons</i>
Bibliographic record
Abstract
From its first line, Günter Frankenberg's articleCritical Comparisons, published twenty years ago, leaves no doubt as to its radical claim and aspiration. Nothing short of attempting to “re-think” comparative law, the article sets out to attack many of the dearly held beliefs in the scholarship and practice of comparative law. The beliefs, the history, the believers, their work and struggles – they are all there. Frankenberg plows through them in order to lay bare what he conceives of as being an incorrectly defendedmyth of scholarly objectivityamong many of the field's pioneers and contemporary protagonists. Not being alone in his struggle of fiercely assailing the citadels of a nearly century-old comparativist scholarly venture, his crucial contribution to the field cannot now be denied. Whether we consider its open, frank, almost casual style, or its wide reaching theoretical reach,Critical Comparisonsremains one of the most eminent articulations of the crisis of comparative law in its first century. At the time of the article's 20th birthday, it is time to recollect, reassess and reconsider its main arguments and to play them back to the author and his readers. After a brief reconstruction of the article's main contentions (Part B), this brief homage will contextualize the article within a larger attempt among comparativists and legal theorists to work towards a transnational legal science (Part C).
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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 | 0.010 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.010 | 0.029 |
| Scholarly communication | 0.020 | 0.023 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.007 | 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".