No Longer "naked and shivering outside her gates":\nEstablishing Law as a Full-time On-campus Academic\nDiscipline at McGill University inthe Nineteenth Century
Bibliographic record
Abstract
Although Canada was a single province (1763-1791), subsequently divided into Upper and Lower Canada, legal education developed very differently in the two components. The Law Society of Upper Canada controlled legal education in Ontario until the second half of the twentieth century, while in Quebec, where the legal system was based on both civil and common law, university-based legal education began in the first half of the nineteenth century. This study examines how legal education developed at McGill University, moving from part-time teaching by professionals off-campus to an on-campus faculty taught by full-time academics by the end of the century These changes were in part caused by fear in the English-speaking minority for their position following Confederation and led to tensions between the academy and the Bar which controlled entry into the profession regardless of the education received.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".