Bibliographic record
Abstract
The Osgoode Society published the frst volume of Canadian State Trials, dealing with the period from the early seventeenth century to the 1830s, in 1996.One of the two editors of that volume was Professor Barry Wright, who has been a co-editor for every subsequent volume.This is the ffth and fnal volume of the Canadian State Trials series, which spans almost the entirety of Canadian history.The Society, and the Canadian legal historical community, owe a profound debt of thanks to Professor Wright in particular, his various co-editors (the late Murray Greenwood, Susan Binnie and Eric Tucker), and the 58 contributors who produced one or more essays in the series.This volume examines political trials and national security measures from 1939 to 1990.It covers experiences during the Second World War and its immediate aftermath -the use of the War Measures Act to register enemy aliens, and Japanese Canadian property confscations, relocations and internment.It also analyses immediate post war and Cold War events -deportations, war crimes proceedings, and the Gouzenko Affair.The fnal set of essays set in context the political and legal responses to the FLQ and the October Crisis, labour strikes and unrest, and Indigenous resistance in the form of the Oka crisis.Like all the preceding volumes, Canadian State Trials Volume Five provides insights into the tensions within the rule of law, between executive authority and civil liberties, and between state sovereignty and self-determination.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.594 | 0.474 |
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".