Bibliographic record
Abstract
From Crime to Punishment provides the most comprehensive and up-to-date introduction to criminal law and criminal procedure in Canada.\nFrom Crime to Punishment examines the entire criminal process from the commission of a crime to conviction and sentencing.\nThe 8th edition of From Crime to Punishment provides the most comprehensive and up-to-date introduction to criminal law and criminal procedure now available in Canada. The authors have crafted a careful examination of the entire criminal process from the commission of a crime to conviction and sentencing, including an overview of the foundations of our present criminal law system. Originally written for the layperson and those interested or presently working within the legal and criminal justice systems, the present work covers diverse topics such as the basic principles of criminal law to how judges determine the credibility of witnesses in courtroom proceedings. This book simplifies what others have found to be complex and mystifying about our criminal law system, and therefore, is an excellent resource for those interested in understanding how it functions in the real world. New in this edition In the chapter entitled: Do you have a Criminal Record? - The Effect of Discharges and Record Suspensions: The writer views the law because of the controversy that discharges and record suspensions have. As will be seen in the chapter many Courts are confused. The writer tries to answer and clarify the law in this area. In the chapter entitled: Extradition: The writer of this chapter in layman's terms explains to the reader what extradition is and why one is extradited. He explains how the requesting country proceeds in having a fugitive return to their territory. The writer in layman's terms explains this complicated field of law.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.665 | 0.509 |
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".