<i>Born to be Wild:</i> The “Trans-systemic” Programme at McGill and the De-Nationalization of Legal Education
Bibliographic record
Abstract
Legal education is changing. What is changing is our understanding of “education”, of how we learn and how we should teach. Also changing is our understanding of how to define what is “legal” about “legal education”. Most will nowadays agree that legal education should be more than a vocational training for the practice of the profession in a particular jurisdiction. In analyzing the development of legal education in recent years, we can distinguish two trajectories. Firstly, there is the ongoing attempt of specifically the North American legal academy to make legal studies a transdisciplinary endeavour, a development closely connected to the major “paradigm shifts” in legal theory in the 20th century. Secondly, it seems that jurisdictional boundaries have lost significance in an internationalized, globalized and post-regulatory environment. This calls into question the very notion of “law” itself, at least as traditionally understood as a system of posited norms within a given jurisdiction. How should both developments be reconciled?
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.015 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.020 | 0.002 |
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".