Transsystemia - Are We Approaching a New Langdellian Moment - Is McGill Leading the Way
Bibliographic record
Abstract
Late in the 19th century, as our economy was transformed into a truly national one, legal education was transformed by the adoption of a teaching technique – Langdell's Socratic Method – that succeeded in creating law graduates confident of their capacity to be professionals in ANY American common law jurisdiction – national lawyers even in the absence of a national common law. Today, as the economy is once again transforming, now internationally, lawyers have an equivalent need to be confident of their capacity to perform across national boundaries. The paper briefly describes the way in which McGill University's Faculty of Law has transformed the education its students received by teaching common law and civil law systems side-by-side, transsystemically, with apparent success in meeting this need. It then discusses the special advantages McGill has in this regard, the obstacles that would face an American law school seeking to chart a similar course, and some possible means of doing so. Here, too, it suggests, change may not be strictly voluntary, but driven by what the market for law graduates increasingly demands.
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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 | 0.004 | 0.010 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 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".