Bibliographic record
Abstract
An introduction to Canadian legal history featuring new approaches to legal scholarship. Essential reading for all those interested in Canadian legal methodologies, especially new and beginning scholars. Canada’s Legal Pasts presents new essays on a range of topics and episodes in Canadian legal history, provides an introduction to legal methodologies, shows researchers new to the field how to locate and use a variety of sources, and includes a combined bibliography arranged to demonstrate best practices in gathering and listing primary sources. It is an essential welcome for scholars who wish to learn about Canada’s legal pasts—and why we study them. Telling new stories—about a fishing vessel that became the subject of an extraordinarily long diplomatic dispute, young Northwest Mounted Police constables subject to an odd mixture of police discipline and criminal procedure, and more—this book presents the vibrant evolution of Canada’s legal tradition. Explorations of primary sources, including provincial archival records that suggest how Quebec courts have been used in interfamilial conflict, newspaper records that disclose the details of bigamy cases, and penitentiary records that reveal the details of the lives and legal entanglements of Canada’s most marginalized people, show the many different ways of researching and understanding legal history. This is Canadian legal history as you’ve never seen it before. Canada’s Legal Pasts dives into new topics in Canada’s fascinating history and presents practical approaches to legal scholarship, bringing together established and emerging scholars in collection essential for researchers at all levels.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.838 | 0.660 |
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".